Chefs' Warehouse (CHEF) Other Non-Current Liabilities (2010 - 2026)
Chefs' Warehouse (CHEF) posted Other Non-Current Liabilities of $4.61 million for Q2 2026, up 20.9% from $3.81 million a year earlier but down 22.9% from the prior quarter.
Chefs' Warehouse (CHEF) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Chefs' Warehouse's Other Non-Current Liabilities came in at $5.94 million, up 51.0% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Chefs' Warehouse's Other Non-Current Liabilities was $3.94 million in FY2024 (+145.5%), $1.6 million in FY2023 (-87.7%), $13.03 million in FY2022 (+155.1%) and $5.11 million in FY2021 (+15.7%).
- Quarterly Other Non-Current Liabilities has run from a low of $1.6 million in Q4 2023 to a high of $13.03 million in Q4 2022 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last seven quarters, with growth averaging 54.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2022, with growth of 155.1%; the weakest was Q4 2023, with a decline of 87.7%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $5.98 million (Q1 2026), $5.94 million (Q4 2025) and $4.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 4.61 Mn |
| Mar 27, 2026 | 5.98 Mn |
| Dec 26, 2025 | 5.94 Mn |
| Sep 26, 2025 | 4.36 Mn |
| Jun 27, 2025 | 3.81 Mn |
| Mar 28, 2025 | 3.89 Mn |
| Dec 27, 2024 | 3.94 Mn |
| Sep 27, 2024 | 2.79 Mn |
| Jun 28, 2024 | 2.79 Mn |
| Mar 29, 2024 | 2.05 Mn |
| Dec 29, 2023 | 1.60 Mn |
| Sep 29, 2023 | 3.31 Mn |
| Jun 30, 2023 | 3.07 Mn |
| Mar 31, 2023 | 9.34 Mn |
| Dec 30, 2022 | 13.03 Mn |
| Sep 23, 2022 | 5.86 Mn |
| Jun 24, 2022 | 4.57 Mn |
| Mar 25, 2022 | 5.58 Mn |
| Dec 24, 2021 | 5.11 Mn |
| Sep 24, 2021 | 4.24 Mn |
Chefs' Warehouse Other Non-Current 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=other-non-current-liabilities&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();