Chefs' Warehouse (CHEF) EBITDA (2010 - 2026)
Chefs' Warehouse's EBITDA was $79.52 million in Q2 2026, up 34.1% from $59.31 million a year earlier and up 48.4% from the prior quarter.
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Analysis
Chefs' Warehouse (CHEF) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chefs' Warehouse's EBITDA was $255.94 million through Jun 26, 2026, up 20.4% year-over-year; for FY2025, it came in at $223.24 million, up 15.6% from FY2024.
- EBITDA has now increased for four consecutive years.
- In earlier years, EBITDA was $193.14 million in FY2024 (+23.4%), $156.55 million in FY2023 (+25.0%), $125.27 million in FY2022 (+160.6%) and $48.08 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA has increased for 17 straight quarters, with growth averaging 21.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in EBITDA ranged from 0.5% (Q4 2025) to 170.9% (Q2 2022).
- Per Business Quant data, CHEF's EBITDA in the three quarters before Q2 2026 was $53.57 million (Q1 2026), $64.12 million (Q4 2025) and $58.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Chefs' Warehouse | 4.28 Bn | 3.84 Bn | 292.89 Mn | 79.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 79.52 Mn |
| Mar 27, 2026 | 53.57 Mn |
| Dec 26, 2025 | 64.12 Mn |
| Sep 26, 2025 | 58.73 Mn |
| Jun 27, 2025 | 59.31 Mn |
| Mar 28, 2025 | 41.07 Mn |
| Dec 27, 2024 | 63.81 Mn |
| Sep 27, 2024 | 48.35 Mn |
| Jun 28, 2024 | 49.58 Mn |
| Mar 29, 2024 | 31.41 Mn |
| Dec 29, 2023 | 52.67 Mn |
| Sep 29, 2023 | 42.11 Mn |
| Jun 30, 2023 | 40.62 Mn |
| Mar 31, 2023 | 24.57 Mn |
| Dec 30, 2022 | 39.72 Mn |
| Sep 23, 2022 | 32.07 Mn |
| Jun 24, 2022 | 37.43 Mn |
| Mar 25, 2022 | 16.05 Mn |
| Dec 24, 2021 | 25.23 Mn |
| Sep 24, 2021 | 19.65 Mn |
API Access
Chefs' Warehouse EBITDA 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=ebitda&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();