daily 2026 refresh
Browse files- README.md +147 -0
- chart.svg +2 -0
- data/layoffs_2026.csv +0 -0
- data/layoffs_2026_by_month.csv +12 -0
- data/layoffs_2026_by_state.csv +44 -0
- data/layoffs_2026_top_employers.csv +201 -0
README.md
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| 1 |
+
---
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| 2 |
+
pretty_name: US layoffs 2026 - every WARN Act notice filed this year, rebuilt daily
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| 3 |
+
license: cc-by-4.0
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| 4 |
+
language:
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| 5 |
+
- en
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| 6 |
+
task_categories:
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| 7 |
+
- tabular-classification
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| 8 |
+
- time-series-forecasting
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| 9 |
+
tags:
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| 10 |
+
- layoffs
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| 11 |
+
- layoffs-2026
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| 12 |
+
- job-cuts
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| 13 |
+
- mass-layoffs
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| 14 |
+
- plant-closings
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| 15 |
+
- warn-act
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| 16 |
+
- warn-notices
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| 17 |
+
- labor-market
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| 18 |
+
- unemployment
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| 19 |
+
- recruiting
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| 20 |
+
- sales-intelligence
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| 21 |
+
- public-records
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| 22 |
+
- government-data
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| 23 |
+
- alternative-data
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| 24 |
+
- united-states
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| 25 |
+
- daily-updated
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| 26 |
+
- tabular
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| 27 |
+
size_categories:
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| 28 |
+
- 1K<n<10K
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| 29 |
+
configs:
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| 30 |
+
- config_name: default
|
| 31 |
+
data_files:
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| 32 |
+
- split: train
|
| 33 |
+
path: data/layoffs_2026.csv
|
| 34 |
+
- config_name: by_state
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| 35 |
+
data_files:
|
| 36 |
+
- split: train
|
| 37 |
+
path: data/layoffs_2026_by_state.csv
|
| 38 |
+
- config_name: by_month
|
| 39 |
+
data_files:
|
| 40 |
+
- split: train
|
| 41 |
+
path: data/layoffs_2026_by_month.csv
|
| 42 |
+
- config_name: top_employers
|
| 43 |
+
data_files:
|
| 44 |
+
- split: train
|
| 45 |
+
path: data/layoffs_2026_top_employers.csv
|
| 46 |
+
---
|
| 47 |
+
|
| 48 |
+
# US layoffs in 2026: 2,597 WARN notices, 236,106 workers - rebuilt every morning
|
| 49 |
+
|
| 50 |
+
**Data as of 2026-09-11.** One row per WARN Act layoff notice **filed with a US state
|
| 51 |
+
agency in 2026**, normalised into one schema across 43 states. Free, CC BY 4.0,
|
| 52 |
+
no login, no API key, no delayed tier.
|
| 53 |
+
|
| 54 |
+
| | |
|
| 55 |
+
|---|---|
|
| 56 |
+
| **2,597** | layoff notices filed in 2026 so far |
|
| 57 |
+
| **236,106** | workers named on them (a floor - see Honest scope) |
|
| 58 |
+
| **43** | state agencies filed at least one |
|
| 59 |
+
| **982** | most of any state: CA |
|
| 60 |
+
| **9,891** | largest single notice: Ideal US Talent Systems Worker OpCo LLC (RI), filed 2026-05-05 |
|
| 61 |
+
| **217** | filed in the last 30 days |
|
| 62 |
+
|
| 63 |
+

|
| 64 |
+
|
| 65 |
+
*Workers named on notices filed in each month of 2026. Peak so far: May with 45,083 workers across 280 notices. Counts are floors, and the final month is still being filed into.*
|
| 66 |
+
|
| 67 |
+
## Why this file and not a spreadsheet someone posted
|
| 68 |
+
|
| 69 |
+
Layoff notices arrive every business day, in 46 different formats, from 46 different
|
| 70 |
+
state portals - and states amend headcounts and rescind notices after filing. This slice
|
| 71 |
+
is rebuilt from those portals every morning, so the 2026 picture here moves. A static
|
| 72 |
+
copy of it is out of date within about 24 hours. If you are reading a mirror that has not
|
| 73 |
+
changed in a week, it is missing this week's layoffs.
|
| 74 |
+
|
| 75 |
+
Want the full history instead of this year? [**59,136 notices back to 1988**](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily).
|
| 76 |
+
Want the ones that have not happened yet? [**Notices taking effect in the next 90 days**](https://huggingface.co/datasets/APProjects/upcoming-layoffs-job-cuts-plant-closings-us-warn-act).
|
| 77 |
+
|
| 78 |
+
## Quickstart
|
| 79 |
+
|
| 80 |
+
```python
|
| 81 |
+
from datasets import load_dataset
|
| 82 |
+
|
| 83 |
+
layoffs = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", split="train")
|
| 84 |
+
by_state = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", "by_state", split="train")
|
| 85 |
+
by_month = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", "by_month", split="train")
|
| 86 |
+
top = load_dataset("APProjects/layoffs-2026-us-warn-act-notices-daily", "top_employers", split="train")
|
| 87 |
+
```
|
| 88 |
+
|
| 89 |
+
```python
|
| 90 |
+
import pandas as pd
|
| 91 |
+
base = "https://huggingface.co/datasets/APProjects/layoffs-2026-us-warn-act-notices-daily/resolve/main/data/"
|
| 92 |
+
df = pd.read_csv(base + "layoffs_2026.csv", parse_dates=["notice_date", "effective_date"])
|
| 93 |
+
|
| 94 |
+
df.groupby("state").employees_affected.sum().nlargest(10) # worst-hit states
|
| 95 |
+
df[df.company.str.contains("Amazon", case=False, na=False)] # one employer
|
| 96 |
+
df[df.notice_date >= "2026-08-12"] # the last month
|
| 97 |
+
```
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| 98 |
+
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| 99 |
+
## Columns
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| 100 |
+
|
| 101 |
+
| column | meaning |
|
| 102 |
+
|---|---|
|
| 103 |
+
| `id` | stable notice id, joins to the [full archive](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-notices-daily) |
|
| 104 |
+
| `state` | two-letter filing state |
|
| 105 |
+
| `company` | employer exactly as the state agency published it |
|
| 106 |
+
| `company_canonical` | normalised employer name - this is what lets you group one company across states |
|
| 107 |
+
| `location` | city / county as filed |
|
| 108 |
+
| `employees_affected` | workers named on the notice; blank where the agency published none |
|
| 109 |
+
| `notice_date` | date the employer filed - **2026 for every row in this file** |
|
| 110 |
+
| `effective_date` | date separations take effect, where the agency published one |
|
| 111 |
+
| `notice_type` | layoff / closure / permanent / temporary, as filed |
|
| 112 |
+
|
| 113 |
+
Rollups: `by_state` is `state, notices, workers`; `by_month` is `month, notices, workers`;
|
| 114 |
+
`top_employers` is `company, notices, workers, states`.
|
| 115 |
+
|
| 116 |
+
## Honest scope - read this before quoting a number
|
| 117 |
+
|
| 118 |
+
- **Every worker total is a FLOOR.** 43 of the 2,597 2026 notices carry no headcount from the agency. They count as zero workers, never as a guess.
|
| 119 |
+
- **3,263 notices in the whole archive carry no filing date at all** and therefore cannot appear in a by-filing-year slice, however recent they are. That is a gap in what states publish, not a filter we chose.
|
| 120 |
+
- **2 rows in this file carry a filing date after 2026-09-11** - forward-dated or mistyped by the filing state. They are kept because that is what the agency published, and excluded from the chart.
|
| 121 |
+
- **Sep 2026 is a partial month** - it is still being filed into. Do not read the last
|
| 122 |
+
bar of the chart as a decline.
|
| 123 |
+
- Coverage is 46 state agencies, not 50. A state that files late is invisible
|
| 124 |
+
until it files, and absence from this file is not evidence that a company is not cutting.
|
| 125 |
+
- A state's published `notice_date` is often the date the STATE logged the filing, not the
|
| 126 |
+
day the employer sent it.
|
| 127 |
+
- Compiled from state workforce-agency portals. Independent project, not affiliated with any
|
| 128 |
+
government agency. Not legal, financial or employment advice.
|
| 129 |
+
|
| 130 |
+
## Where it comes from, and how to check it
|
| 131 |
+
|
| 132 |
+
Every row traces to a state agency portal; the per-state sources, formats and last-checked
|
| 133 |
+
timestamps are published at [approjects-warn-act-notices.static.hf.space/sources.html](https://approjects-warn-act-notices.static.hf.space/sources.html). Code and the
|
| 134 |
+
full data mirror: [github.com/APVentureEngine/warn-act-notices](https://github.com/APVentureEngine/warn-act-notices). Corrections:
|
| 135 |
+
[open an issue](https://github.com/APVentureEngine/warn-act-notices/issues) - they ship the same day.
|
| 136 |
+
|
| 137 |
+
## Getting told when the next one lands
|
| 138 |
+
|
| 139 |
+
Everything above is free and always will be. The one paid thing this project sells is the
|
| 140 |
+
*watching*: [**WARN Watch**](https://approj.gumroad.com/l/warn-watch) runs your employer and state list against every daily
|
| 141 |
+
rebuild for a year and delivers matches to a private alert page, an RSS feed and an optional
|
| 142 |
+
Slack / Discord / Teams webhook - $49/year, one payment, no auto-renew, 14-day refund.
|
| 143 |
+
Try it first for nothing: [**free 30-day watch**](https://approj.gumroad.com/l/warn-free-watch), no card, up to 3 employers
|
| 144 |
+
or one whole state.
|
| 145 |
+
|
| 146 |
+
Cite as: "WARN Feed - US layoffs 2026 (WARN Act notices filed in 2026), rebuilt 2026-09-11,
|
| 147 |
+
huggingface.co/datasets/APProjects/layoffs-2026-us-warn-act-notices-daily".
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chart.svg
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data/layoffs_2026.csv
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The diff for this file is too large to render.
See raw diff
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data/layoffs_2026_by_month.csv
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| 1 |
+
month,notices,workers
|
| 2 |
+
2026-01,366,34843
|
| 3 |
+
2026-02,349,28185
|
| 4 |
+
2026-03,330,23462
|
| 5 |
+
2026-04,367,32953
|
| 6 |
+
2026-05,280,45083
|
| 7 |
+
2026-06,359,20264
|
| 8 |
+
2026-07,230,21153
|
| 9 |
+
2026-08,251,23704
|
| 10 |
+
2026-09,63,6393
|
| 11 |
+
2026-10,1,8
|
| 12 |
+
2026-11,1,58
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data/layoffs_2026_by_state.csv
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| 1 |
+
state,notices,workers
|
| 2 |
+
CA,982,53038
|
| 3 |
+
IL,86,16788
|
| 4 |
+
TX,99,16500
|
| 5 |
+
FL,203,14580
|
| 6 |
+
WA,90,14576
|
| 7 |
+
NY,141,12023
|
| 8 |
+
NJ,92,10620
|
| 9 |
+
GA,68,10350
|
| 10 |
+
RI,5,10136
|
| 11 |
+
OH,67,8967
|
| 12 |
+
MD,97,6577
|
| 13 |
+
VA,49,6466
|
| 14 |
+
TN,46,6301
|
| 15 |
+
NC,47,5256
|
| 16 |
+
CO,40,5045
|
| 17 |
+
AZ,40,4285
|
| 18 |
+
IN,26,3868
|
| 19 |
+
WI,49,3564
|
| 20 |
+
IA,81,3123
|
| 21 |
+
KY,30,2677
|
| 22 |
+
DC,11,2601
|
| 23 |
+
CT,14,2371
|
| 24 |
+
OR,65,2270
|
| 25 |
+
AL,24,2110
|
| 26 |
+
NV,12,1896
|
| 27 |
+
MS,12,1804
|
| 28 |
+
UT,13,1694
|
| 29 |
+
LA,12,1567
|
| 30 |
+
NE,6,1143
|
| 31 |
+
HI,26,716
|
| 32 |
+
VT,6,677
|
| 33 |
+
ID,7,659
|
| 34 |
+
KS,7,617
|
| 35 |
+
ME,6,378
|
| 36 |
+
MN,4,238
|
| 37 |
+
DE,3,174
|
| 38 |
+
AK,1,160
|
| 39 |
+
MT,3,95
|
| 40 |
+
SD,4,87
|
| 41 |
+
NM,2,62
|
| 42 |
+
ND,1,47
|
| 43 |
+
OK,11,0
|
| 44 |
+
WV,9,0
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data/layoffs_2026_top_employers.csv
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| 1 |
+
company,notices,workers,states
|
| 2 |
+
Ideal US Talent Systems Worker OpCo,3,11973,GA|IL|RI
|
| 3 |
+
Spirit Airlines,11,6906,FL|GA|MD|NJ|NV|NY
|
| 4 |
+
Meta Platforms,14,5686,CA|WA
|
| 5 |
+
Amazon,17,5386,CA|FL|NJ|NY|VA|WA
|
| 6 |
+
Republic National Distributing,17,3533,AZ|DC|FL|GA|IL|LA|MD|NC|NE|SD|VA|WA
|
| 7 |
+
Tyson Foods,1,2495,IL
|
| 8 |
+
"Tyson Foods, Inc (Amarillo B-Shift Operations) Updated",1,1761,TX
|
| 9 |
+
Franciscan Health Olympia Fields,1,1535,IL
|
| 10 |
+
KBR Services,2,1408,CA
|
| 11 |
+
T-Mobile,9,1363,CO|IL|KY|NJ|OK|TN|TX|WA
|
| 12 |
+
International Motors,1,1341,OH
|
| 13 |
+
Amazonfresh,8,1281,IL
|
| 14 |
+
Medical Facility Associates,1,1270,DC
|
| 15 |
+
Oracle America,6,1239,CA|NY|WA
|
| 16 |
+
Meta,4,1234,NJ|NY
|
| 17 |
+
SDH Education West,4,1178,AZ|NY
|
| 18 |
+
Alan Ritchey,3,1137,CO|NJ|TX
|
| 19 |
+
Essendant,7,1128,AZ|CA|GA|IL|TX
|
| 20 |
+
Conifer's Health Solutions,1,1037,TX
|
| 21 |
+
FreshRealm,3,1032,CA|NJ|TX
|
| 22 |
+
Macys Cheshire Fulfillment Center,1,993,CT
|
| 23 |
+
SK Battery America,1,958,GA
|
| 24 |
+
Citibank,3,947,NJ|NY
|
| 25 |
+
Borton & Sons,1,928,WA
|
| 26 |
+
"Aramark Campus, LLC (University of Kentucky)",1,923,KY
|
| 27 |
+
Intuit,4,910,CA
|
| 28 |
+
First Brands Group,5,901,CA|IN|TN|TX
|
| 29 |
+
Saks &,18,891,AZ|CA|FL|HI|MD|NC|NJ|NV|NY
|
| 30 |
+
Home Depot U.S.A,1,797,GA
|
| 31 |
+
PNC Bank,1,777,CO
|
| 32 |
+
Ideal US Talent Worker OpCo,1,776,VA
|
| 33 |
+
NIKE Retail Services,2,776,MS|TN
|
| 34 |
+
Del Monte Foods Corporation II Inc - Modesto,1,765,CA
|
| 35 |
+
Wellstar Health System,1,761,GA
|
| 36 |
+
Samsung Electronics America,1,739,NJ
|
| 37 |
+
24Hr Homecare,1,738,CA
|
| 38 |
+
TeamOne,1,725,CA
|
| 39 |
+
Tyson Fresh Meats,1,723,UT
|
| 40 |
+
Diamond Transportation Services,2,715,MD|VA
|
| 41 |
+
Lucid,1,705,AZ
|
| 42 |
+
IPIC Theaters,8,705,FL|GA|MD|NJ|NY|WA
|
| 43 |
+
"Republic National Distributing Company, LLC (Reyes Holdings, L.L.C) Grand Prairie",1,689,TX
|
| 44 |
+
General Dynamics Information Technology,8,657,DC|MD|VA
|
| 45 |
+
Crothall Healthcare,2,654,MD|VA
|
| 46 |
+
Laurel Ridge Treatment Center (Laurel Ridge),1,648,TX
|
| 47 |
+
"First Brands Group (Champion Laboratories, Inc.-multiple sites)",1,642,IL
|
| 48 |
+
Amentum,7,632,AZ|GA|HI|MD
|
| 49 |
+
Whirlpool,2,629,IA
|
| 50 |
+
Grocery Delivery E-Services,2,628,IL|NJ
|
| 51 |
+
Stanley Black & Decker,3,612,MD|MS|TN
|
| 52 |
+
Starbucks,4,606,WA
|
| 53 |
+
Microsoft,1,605,WA
|
| 54 |
+
Thermo Fisher Scientific,2,596,CA|NC
|
| 55 |
+
Resilience Healthcare - West Suburban Medical Center,1,589,IL
|
| 56 |
+
"Republic National Distributing Company, LLC (Reyes Holdings, L.L.C) Houston",1,588,TX
|
| 57 |
+
humano,1,586,IN
|
| 58 |
+
SIMOS Insourcing Solutions,1,572,IN
|
| 59 |
+
WK Kellogg,2,568,NE|TN
|
| 60 |
+
Wells Fargo,19,564,CA|IA|IL|NC
|
| 61 |
+
First Student,4,552,CA|IA|KS|WA
|
| 62 |
+
Amazon (Western),1,542,NY
|
| 63 |
+
JP Morgan Chase,5,541,NJ
|
| 64 |
+
LinkedIn,4,540,CA
|
| 65 |
+
Yokohama Tire Manufacturing Virginia,1,533,VA
|
| 66 |
+
Bahama Breeze,7,525,FL|VA
|
| 67 |
+
DLH Solutions,2,521,AZ|TN
|
| 68 |
+
Gilbert Orchards,1,518,WA
|
| 69 |
+
Spirit Airlines (IAH) May 2026,1,515,TX
|
| 70 |
+
Eagle Rock Distribution,1,514,CO
|
| 71 |
+
Geodis,4,497,CA|KY|OH
|
| 72 |
+
Thrive SMP,1,497,GA
|
| 73 |
+
Postal Center International,3,496,FL|IN|TX
|
| 74 |
+
SDH Services West,1,488,OH
|
| 75 |
+
Daniel Drake Center for Post-Acute Care,1,474,OH
|
| 76 |
+
Verizon Corp Resources Group,3,473,NJ
|
| 77 |
+
UnityPoint Health,12,471,IA|WI
|
| 78 |
+
Sky Chefs,1,471,NY
|
| 79 |
+
Cisco Systems,3,471,CA
|
| 80 |
+
Walgreen,2,468,IL
|
| 81 |
+
Uber Technologies,3,459,CA|IL|WA
|
| 82 |
+
Lucid Group,2,455,CA
|
| 83 |
+
Spirit Airlines (DFW) May 2026,1,444,TX
|
| 84 |
+
United Natural Foods,1,443,WI
|
| 85 |
+
eBay,2,441,CA
|
| 86 |
+
Parsec,3,441,FL|GA|OH
|
| 87 |
+
Fortrex,4,435,CA|ID|NC
|
| 88 |
+
Charter Communications,2,425,TX|WI
|
| 89 |
+
Greenwood Leflore Hospital,1,425,MS
|
| 90 |
+
Saddle Creek,3,424,FL|IL|TX
|
| 91 |
+
Management & Training,2,420,FL
|
| 92 |
+
LeeMAH Electronics,2,417,CA
|
| 93 |
+
Snap,3,415,CA|WA
|
| 94 |
+
UPDATE First Brands Group Seneca,1,407,OH
|
| 95 |
+
ServiceNow,4,404,CA
|
| 96 |
+
Legacy Cabinets,1,397,AL
|
| 97 |
+
DHL Supply Chain,4,391,CA|FL|NC
|
| 98 |
+
DSV Contract Logistics (3PL Logistics Facility),1,391,TX
|
| 99 |
+
Visa,2,390,CA|WA
|
| 100 |
+
CNH Industrial America,24,390,IA
|
| 101 |
+
"First Brands Group, LLC (Midwest Distribution Center)",1,389,IL
|
| 102 |
+
Portland Truck Manufacturing Facility,1,387,OR
|
| 103 |
+
Lourdes University,1,387,OH
|
| 104 |
+
Jabil,1,382,CA
|
| 105 |
+
Family Dollar,1,373,NC
|
| 106 |
+
JeniusBank,4,372,CT|DE|OR|WV
|
| 107 |
+
"Republic National Distributing Company, LLC (Reyes Holdings, L.L.C) San Antonio",1,372,TX
|
| 108 |
+
80 Acres Urban Agriculture,4,370,CO|GA|OH|WA
|
| 109 |
+
Schwebel Baking Company Youngstown,1,370,OH
|
| 110 |
+
HRL Laboratories,5,368,CA
|
| 111 |
+
Compass Group,3,362,NC|TX
|
| 112 |
+
Federal Express,6,349,AZ|CA|MD|NJ
|
| 113 |
+
"First Brands Group, LLC(Billy Mitchell)",1,345,TX
|
| 114 |
+
Primadonna,1,344,NV
|
| 115 |
+
LA Semiconductor,1,342,ID
|
| 116 |
+
Aludyne,1,341,GA
|
| 117 |
+
W South Beach & Residences,1,337,FL
|
| 118 |
+
Epic Games,4,337,CA|NC|WA
|
| 119 |
+
GoldStar Transit (GST) Eagle Mountain/Saginaw Independent School District,1,336,TX
|
| 120 |
+
Cayuga Home for Children,3,334,NY
|
| 121 |
+
Blue Diamond Growers,8,332,CA
|
| 122 |
+
Specialty Physicians of Illinois,1,329,IL
|
| 123 |
+
Carlex,1,325,TN
|
| 124 |
+
Main Street Sports Group,8,325,CA|CT|FL|GA|NY|TX|WI
|
| 125 |
+
GMRI,4,324,CA|GA|NC|WA
|
| 126 |
+
WP,2,324,DC|NY
|
| 127 |
+
Novartis Pharmaceuticals,1,322,NJ
|
| 128 |
+
Republic National Distributing Company LLC (RNDC),1,320,CO
|
| 129 |
+
Leidos,3,320,MD|VA
|
| 130 |
+
Pilgrim's Pride,1,315,TN
|
| 131 |
+
Atlassian US,2,315,CA|WA
|
| 132 |
+
CVS Heath - Aetna,1,313,CT
|
| 133 |
+
Astrion,4,309,CA|FL|OH
|
| 134 |
+
Texas Family Initiative,1,307,TX
|
| 135 |
+
Mars WrigleyConfectionary US,1,307,NJ
|
| 136 |
+
Ideal US Talent Systems Worker Op,1,307,DC
|
| 137 |
+
Panera,3,307,IL|MD|OH
|
| 138 |
+
Diageo North America,1,305,NY
|
| 139 |
+
Vistra,3,304,IL
|
| 140 |
+
Provo Canyon School,1,303,UT
|
| 141 |
+
Levi Strauss &,1,303,KY
|
| 142 |
+
UPDATE First Brands Group Wood,1,302,OH
|
| 143 |
+
First Brands Group Darke,1,302,OH
|
| 144 |
+
AT&T,3,300,NJ
|
| 145 |
+
Foreside Home Care & Nursing,1,300,CA
|
| 146 |
+
Stanley Black and Decker,1,300,CT
|
| 147 |
+
Walmart,3,299,CA|IL|NJ
|
| 148 |
+
Van Trans,1,297,NY
|
| 149 |
+
Tlingt Haida,1,295,CO
|
| 150 |
+
Tyson Extension - Lexington,1,294,NE
|
| 151 |
+
"Bungie, Inc/Sony Interactive Entertainment",1,292,WA
|
| 152 |
+
"Sodexo (SDH Services East, LLC) Fort Worth Independent School District",1,291,TX
|
| 153 |
+
Hawthorne Race Course,1,290,IL
|
| 154 |
+
Harbinger Production,1,290,CA
|
| 155 |
+
C&S Wholesale Services,1,288,LA
|
| 156 |
+
Tendit Group,2,286,AZ|CO
|
| 157 |
+
"T&H/KIRA: KIRA Infrastructure, KIRA Integrated Solutions, T&H Solutions, T&H Services, KIRA Aviation",1,286,CO
|
| 158 |
+
Renewal by Andersen,3,284,CA
|
| 159 |
+
Electric Glass Fiber America,1,282,NC
|
| 160 |
+
Gilead Sciences,4,277,CA|MD
|
| 161 |
+
Legacy Supply Chain,8,277,CA|KY|MD|TN
|
| 162 |
+
Resolute Forest Products,2,275,AL
|
| 163 |
+
NBCUniversal Media,5,273,CA|NY
|
| 164 |
+
Morgan Stanley,6,273,NY
|
| 165 |
+
Salesforce,4,270,CA|WA
|
| 166 |
+
Searles Valley Minerals,1,270,CA
|
| 167 |
+
Magic Leap,2,269,CA|FL
|
| 168 |
+
Flagship Facilities Services,6,269,CA|WA
|
| 169 |
+
UBS,4,267,NJ
|
| 170 |
+
RESRG Automotive,1,266,IN
|
| 171 |
+
Ashley Furniture Industries (Mesquite),1,266,TX
|
| 172 |
+
Lavish Roots,1,263,WA
|
| 173 |
+
PharmaCann,2,262,CO|NY
|
| 174 |
+
Accupac,1,260,NJ
|
| 175 |
+
CJ Logistics America,3,259,CA|IL|NC
|
| 176 |
+
"Durham School Services, LP./Monroe School Transportation",2,258,NY
|
| 177 |
+
H&M Fashion,2,257,IL|NY
|
| 178 |
+
Avelo Airlines,3,257,AZ|NC
|
| 179 |
+
Monterey Mushrooms,1,253,CA
|
| 180 |
+
Alton Steel,1,253,IL
|
| 181 |
+
Illinois Central School Bus,3,252,IL
|
| 182 |
+
PayPal,1,251,CA
|
| 183 |
+
Aramark Campus,3,251,AZ|CA
|
| 184 |
+
GXO,2,251,TN|VA
|
| 185 |
+
UPDATED Eagle Machining - First Brands Group,1,251,OH
|
| 186 |
+
TikTok USDS JV,1,250,TN
|
| 187 |
+
El Paso Independent School District,1,250,TX
|
| 188 |
+
GridHawk,1,248,OH
|
| 189 |
+
Frito-Lay,1,248,CA
|
| 190 |
+
80 Acres Farms,2,246,TX|VA
|
| 191 |
+
Accel,1,246,CO
|
| 192 |
+
Genentech,2,244,CA
|
| 193 |
+
JPMorgan Chase &,1,244,TX
|
| 194 |
+
Sundquist Fruit,1,243,WA
|
| 195 |
+
Blue Cross Blue Shield of NJ,1,242,NJ
|
| 196 |
+
SCR Medical Transportation,1,241,IL
|
| 197 |
+
EchoStar Corporation (Germantown EXP facility),1,240,MD
|
| 198 |
+
Bush Industries,1,237,NY
|
| 199 |
+
Valero Refining,1,237,CA
|
| 200 |
+
Silgan Containers,3,235,CA
|
| 201 |
+
"Continental Tire the Americas, LLC's",1,235,GA
|