Chefs' Warehouse (CHEF) Change in Accured Expenses (2010 - 2026)
Chefs' Warehouse's Change in Accured Expenses came in at $26.13 million for Q2 2026, down 23.8% from $34.28 million a year earlier.
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Analysis
Chefs' Warehouse (CHEF) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Chefs' Warehouse reported Change in Accured Expenses of -$2.63 million; for FY2025, it came in at $31.37 million, down 64.1% from FY2024.
- Going back by year, Change in Accured Expenses was $87.31 million in FY2024 (+345.5%), $19.6 million in FY2023 (+2.3%), $19.16 million in FY2022 (-73.2%) and $71.52 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$45.44 million (Q1 2026) to $58.19 million (Q4 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2023 (growth of 729.3%), and the weakest in Q3 2022 (a decline of 72.1%).
- Business Quant data shows CHEF's Change in Accured Expenses at -$45.44 million (Q1 2026), $58.19 million (Q4 2025) and -$41.51 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Chefs' Warehouse | 4.59 Bn | 4.15 Bn | 292.89 Mn | 26.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 26.13 Mn |
| Mar 27, 2026 | -45.44 Mn |
| Dec 26, 2025 | 58.19 Mn |
| Sep 26, 2025 | -41.51 Mn |
| Jun 27, 2025 | 34.28 Mn |
| Mar 28, 2025 | -19.59 Mn |
| Dec 27, 2024 | 46.37 Mn |
| Sep 27, 2024 | 23.13 Mn |
| Jun 28, 2024 | 40.73 Mn |
| Mar 29, 2024 | -22.91 Mn |
| Dec 29, 2023 | 858,000.00 |
| Sep 29, 2023 | 18.29 Mn |
| Jun 30, 2023 | 15.50 Mn |
| Mar 31, 2023 | -15.04 Mn |
| Dec 30, 2022 | -2.78 Mn |
| Sep 23, 2022 | 2.21 Mn |
| Jun 24, 2022 | 29.56 Mn |
| Mar 25, 2022 | -9.83 Mn |
| Dec 24, 2021 | 11.08 Mn |
| Sep 24, 2021 | 7.90 Mn |
API Access
Chefs' Warehouse Change in Accured Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CHEF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();