Chefs' Warehouse (CHEF) Cash & Equivalents (2010 - 2026)
Chefs' Warehouse (CHEF) posted Cash & Equivalents of $135.47 million for Q2 2026, up 39.8% from $96.87 million a year earlier and up 10.4% from the prior quarter.
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Analysis
Chefs' Warehouse (CHEF) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Chefs' Warehouse's Cash & Equivalents came in at $120.98 million, up 5.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- In prior years, Chefs' Warehouse's Cash & Equivalents was $114.66 million in FY2024 (+129.9%), $49.88 million in FY2023 (-68.6%), $158.8 million in FY2022 (+37.9%) and $115.16 million in FY2021 (-40.4%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q4 2022.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last eight quarters, with growth averaging 73.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2025, with growth of 175.7%; the weakest was Q3 2023, with a decline of 77.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $122.71 million (Q1 2026), $120.98 million (Q4 2025) and $65.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 135.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 135.47 Mn |
| Mar 27, 2026 | 122.71 Mn |
| Dec 26, 2025 | 120.98 Mn |
| Sep 26, 2025 | 65.06 Mn |
| Jun 27, 2025 | 96.87 Mn |
| Mar 28, 2025 | 116.53 Mn |
| Dec 27, 2024 | 114.66 Mn |
| Sep 27, 2024 | 50.71 Mn |
| Jun 28, 2024 | 38.34 Mn |
| Mar 29, 2024 | 42.27 Mn |
| Dec 29, 2023 | 49.88 Mn |
| Sep 29, 2023 | 33.06 Mn |
| Jun 30, 2023 | 59.59 Mn |
| Mar 31, 2023 | 91.74 Mn |
| Dec 30, 2022 | 158.80 Mn |
| Sep 23, 2022 | 145.43 Mn |
| Jun 24, 2022 | 51.81 Mn |
| Mar 25, 2022 | 79.44 Mn |
| Dec 24, 2021 | 115.16 Mn |
| Sep 24, 2021 | 134.22 Mn |
API Access
Chefs' Warehouse Cash & Equivalents 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=cash-and-equivalents&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();