Chefs' Warehouse (CHEF) Amortization of Deferred Charges (2013 - 2023)
Chefs' Warehouse's Amortization of Deferred Charges was $1.61 million in Q3 2023, up 162.7% from $612,000 a year earlier and up 90.1% from the prior quarter.
Chefs' Warehouse (CHEF) Amortization of Deferred Charges (2013 - 2023) Analysis & Trends
On a trailing twelve-month basis, Chefs' Warehouse's Amortization of Deferred Charges was $3.09 million through Sep 29, 2023, up 48.0% year-over-year; for FY2022, it was $1.29 million, down 43.9% from FY2021.
- Amortization of Deferred Charges shows a five-year compound annual growth rate of -9.1% (FY2017 to FY2022).
- In earlier years, Amortization of Deferred Charges was $2.3 million in FY2021 (-32.9%), $3.43 million in FY2020 (+58.0%), $2.17 million in FY2019 (-31.3%) and $3.16 million in FY2018 (+51.4%).
- The Q3 2023 figure marks the highest quarterly Amortization of Deferred Charges since Q2 2018.
- Compared with a year earlier, Amortization of Deferred Charges has increased for three straight quarters, with growth averaging 35.1% over the last seven quarters.
- The best year-over-year quarter for Amortization of Deferred Charges over five years was Q3 2023 (growth of 162.7%); the worst was Q2 2019 (a decline of 83.1%).
- Per Business Quant data, CHEF's Amortization of Deferred Charges in the three quarters before Q3 2023 was $846,000 (Q2 2023), $967,000 (Q1 2023) and -$331,000 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2023 | 1.61 Mn |
| Jun 30, 2023 | 846,000.00 |
| Mar 31, 2023 | 967,000.00 |
| Dec 30, 2022 | -331,000.00 |
| Sep 23, 2022 | 612,000.00 |
| Jun 24, 2022 | 470,000.00 |
| Mar 25, 2022 | 539,000.00 |
| Dec 24, 2021 | 467,000.00 |
| Sep 24, 2021 | 468,000.00 |
| Jun 25, 2021 | 500,000.00 |
| Mar 26, 2021 | 864,000.00 |
| Dec 25, 2020 | 1.27 Mn |
| Sep 25, 2020 | 674,000.00 |
| Jun 26, 2020 | 716,000.00 |
| Mar 27, 2020 | 762,000.00 |
| Dec 27, 2019 | 602,000.00 |
| Sep 27, 2019 | 522,000.00 |
| Jun 28, 2019 | 522,000.00 |
| Mar 29, 2019 | 522,000.00 |
| Dec 28, 2018 | 1.50 Mn |
Chefs' Warehouse Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=CHEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=CHEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();