Chefs' Warehouse (CHEF) Total Liabilities (2010 - 2026)
Chefs' Warehouse (CHEF) recorded Total Liabilities of $1.38 billion in Q2 2026, up 2.1% from $1.35 billion a year earlier but down 0.2% from the prior quarter.
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Analysis
Chefs' Warehouse (CHEF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Chefs' Warehouse reported Total Liabilities of $1.42 billion, up 7.8% from FY2024.
- Annual Total Liabilities has increased for five straight years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.32 billion in FY2024 (+5.6%), $1.25 billion in FY2023 (+12.9%), $1.11 billion in FY2022 (+53.1%) and $723.58 million in FY2021 (+14.9%).
- Quarterly Total Liabilities has ranged from $692.95 million in Q3 2021 to $1.42 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 21 consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 2.1% (Q2 2024) and 60.9% (Q2 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $1.38 billion (Q1 2026), $1.42 billion (Q4 2025) and $1.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 52.92 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 1.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.38 Bn |
| Mar 27, 2026 | 1.38 Bn |
| Dec 26, 2025 | 1.42 Bn |
| Sep 26, 2025 | 1.34 Bn |
| Jun 27, 2025 | 1.35 Bn |
| Mar 28, 2025 | 1.30 Bn |
| Dec 27, 2024 | 1.32 Bn |
| Sep 27, 2024 | 1.29 Bn |
| Jun 28, 2024 | 1.25 Bn |
| Mar 29, 2024 | 1.22 Bn |
| Dec 29, 2023 | 1.25 Bn |
| Sep 29, 2023 | 1.22 Bn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.15 Bn |
| Dec 30, 2022 | 1.11 Bn |
| Sep 23, 2022 | 867.81 Mn |
| Jun 24, 2022 | 763.19 Mn |
| Mar 25, 2022 | 737.14 Mn |
| Dec 24, 2021 | 723.58 Mn |
| Sep 24, 2021 | 692.95 Mn |
API Access
Chefs' Warehouse Total Liabilities 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=total-liabilities&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();