Chefs' Warehouse (CHEF) Amortizatization of Intangibles (2012 - 2026)
Chefs' Warehouse's Amortizatization of Intangibles came in at $5.52 million for Q2 2026, down 8.1% from $6.01 million a year earlier and down 2.3% from the prior quarter.
Chefs' Warehouse (CHEF) Amortizatization of Intangibles (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 26, 2026, Chefs' Warehouse reported Amortizatization of Intangibles of $23.55 million, down 2.4% year-over-year; for FY2025, it came in at $24.48 million, up 0.4% from FY2024.
- Amortizatization of Intangibles has increased in each of the last four years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $24.37 million in FY2024 (+7.3%), $22.72 million in FY2023 (+63.3%), $13.91 million in FY2022 (+7.3%) and $12.97 million in FY2021 (-4.0%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles since Q1 2023.
- Year-over-year, Amortizatization of Intangibles increased in three of the last eight quarters, with an average decline of 2.1%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q3 2023 (growth of 86.4%), and the weakest in Q3 2024 (a decline of 9.2%).
- Business Quant data shows CHEF's Amortizatization of Intangibles at $5.65 million (Q1 2026), $6.29 million (Q4 2025) and $6.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | - |
| 10 | Chefs' Warehouse | 4.75 Bn | 4.30 Bn | 292.89 Mn | 5.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 5.52 Mn |
| Mar 27, 2026 | 5.65 Mn |
| Dec 26, 2025 | 6.29 Mn |
| Sep 26, 2025 | 6.08 Mn |
| Jun 27, 2025 | 6.01 Mn |
| Mar 28, 2025 | 6.09 Mn |
| Dec 27, 2024 | 6.16 Mn |
| Sep 27, 2024 | 5.87 Mn |
| Jun 28, 2024 | 6.17 Mn |
| Mar 29, 2024 | 6.17 Mn |
| Dec 29, 2023 | 5.80 Mn |
| Sep 29, 2023 | 6.47 Mn |
| Jun 30, 2023 | 5.76 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 30, 2022 | 3.62 Mn |
| Sep 23, 2022 | 3.47 Mn |
| Jun 24, 2022 | 3.46 Mn |
| Mar 25, 2022 | 3.36 Mn |
| Dec 24, 2021 | 3.19 Mn |
| Sep 24, 2021 | 3.14 Mn |
Chefs' Warehouse Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();