Chewy (CHWY) Depreciation and Depletion (2019 - 2026)
Chewy's Depreciation and Depletion came in at $24.5 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 12.9% from $21.7 million a year earlier and up 1.2% from the prior quarter.
Chewy (CHWY) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Chewy reported Depreciation and Depletion of $94.5 million, up 20.2% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $87.2 million, up 18.8% from FY2025.
- Depreciation and Depletion carries a five-year compound annual growth rate of 25.2% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $73.4 million in FY2025 (-2.9%), $75.6 million in FY2024 (+31.5%), $57.5 million in FY2023 (+40.9%) and $40.8 million in FY2022 (+44.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2020.
- Year-over-year, Depreciation and Depletion has increased for eight consecutive quarters, with growth averaging 15.8% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2024 (growth of 76.0%), and the weakest in fiscal Q1 2025 (a decline of 15.0%).
- Business Quant data shows CHWY's Depreciation and Depletion at $24.2 million (Q1 2027), $23.6 million (Q4 2026) and $22.2 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 87.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 24.50 Mn |
| May 3, 2026 | 24.20 Mn |
| Feb 1, 2026 | 23.60 Mn |
| Nov 2, 2025 | 22.20 Mn |
| Aug 3, 2025 | 21.70 Mn |
| May 4, 2025 | 19.70 Mn |
| Feb 2, 2025 | 18.70 Mn |
| Oct 27, 2024 | 18.50 Mn |
| Jul 28, 2024 | 18.10 Mn |
| Apr 28, 2024 | 18.10 Mn |
| Jan 28, 2024 | 18.00 Mn |
| Oct 29, 2023 | 16.60 Mn |
| Jul 30, 2023 | 19.70 Mn |
| Apr 30, 2023 | 21.30 Mn |
| Jan 29, 2023 | 15.40 Mn |
| Oct 30, 2022 | 16.10 Mn |
| Jul 31, 2022 | 13.90 Mn |
| May 1, 2022 | 12.10 Mn |
| Jan 30, 2022 | 12.80 Mn |
| Oct 31, 2021 | 10.00 Mn |
Chewy Depreciation and Depletion 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=depreciation-and-depletion&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CHWY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();