Chefs' Warehouse (CHEF) Change in Inventory (2010 - 2026)
Chefs' Warehouse (CHEF) recorded Change in Inventory of $16.17 million in Q2 2026, down 68.1% from $50.64 million a year earlier.
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Analysis
Chefs' Warehouse (CHEF) Change in Inventory (2010 - 2026) Analysis & Trends
On a TTM basis, Chefs' Warehouse's Change in Inventory came in at $10.29 million as of Jun 26, 2026, down 82.3% year-over-year; for FY2025, it came in at $67.11 million, up 108.4% from FY2024.
- Across earlier years, Change in Inventory came in at $32.21 million in FY2024 (+12.0%), $28.76 million in FY2023 (-42.4%), $49.93 million in FY2022 (-17.9%) and $60.8 million in FY2021.
- Quarterly Change in Inventory has ranged from -$27.59 million in Q4 2023 to $50.64 million in Q2 2025 over the past five years.
- On a year-over-year basis, Change in Inventory rose in two of the last four quarters, with an average decline of 9.9%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 515.6% in Q3 2021, against a decline of 68.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -$21.58 million (Q1 2026), -$3.02 million (Q4 2025) and $18.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 457.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | -69.86 Mn |
| 10 | Chefs' Warehouse | 4.57 Bn | 4.13 Bn | 292.89 Mn | 16.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 16.17 Mn |
| Mar 27, 2026 | -21.58 Mn |
| Dec 26, 2025 | -3.02 Mn |
| Sep 26, 2025 | 18.73 Mn |
| Jun 27, 2025 | 50.64 Mn |
| Mar 28, 2025 | 774,000.00 |
| Dec 27, 2024 | -19.58 Mn |
| Sep 27, 2024 | 26.36 Mn |
| Jun 28, 2024 | 38.58 Mn |
| Mar 29, 2024 | -13.15 Mn |
| Dec 29, 2023 | -27.59 Mn |
| Sep 29, 2023 | 20.90 Mn |
| Jun 30, 2023 | 15.38 Mn |
| Mar 31, 2023 | 20.08 Mn |
| Dec 30, 2022 | 9.41 Mn |
| Sep 23, 2022 | 9.95 Mn |
| Jun 24, 2022 | 26.18 Mn |
| Mar 25, 2022 | 4.39 Mn |
| Dec 24, 2021 | 11.65 Mn |
| Sep 24, 2021 | 9.80 Mn |
API Access
Chefs' Warehouse Change in Inventory 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-inventory&ticker=CHEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();