Chewy (CHWY) Other Operating Expenses (2018 - 2026)
Chewy (CHWY) recorded Other Operating Expenses of $214.8 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 7.1% from $200.6 million a year earlier and up 4.2% from the prior quarter.
Chewy (CHWY) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Chewy's Other Operating Expenses came in at $851.4 million as of Aug 2, 2026, up 3.7% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $824.9 million, up 2.6% from FY2025.
- Annual Other Operating Expenses has increased for eight straight fiscal years, with a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $804.1 million in FY2025 (+8.3%), $742.4 million in FY2024 (+14.3%), $649.39 million in FY2023 (+4.9%) and $618.9 million in FY2022 (+20.6%).
- Quarterly Other Operating Expenses has ranged from $144.16 million in fiscal Q2 2023 to $235 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in seven of the last eight quarters, with growth averaging 6.6%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 28.7% in fiscal Q2 2024, against a decline of 16.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $206.1 million (Q1 2027), $232.6 million (Q4 2026) and $197.9 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 214.80 Mn |
| May 3, 2026 | 206.10 Mn |
| Feb 1, 2026 | 232.60 Mn |
| Nov 2, 2025 | 197.90 Mn |
| Aug 3, 2025 | 200.60 Mn |
| May 4, 2025 | 193.80 Mn |
| Feb 2, 2025 | 235.00 Mn |
| Oct 27, 2024 | 191.80 Mn |
| Jul 28, 2024 | 190.50 Mn |
| Apr 28, 2024 | 186.80 Mn |
| Jan 28, 2024 | 193.98 Mn |
| Oct 29, 2023 | 179.20 Mn |
| Jul 30, 2023 | 185.49 Mn |
| Apr 30, 2023 | 183.73 Mn |
| Jan 29, 2023 | 183.43 Mn |
| Oct 30, 2022 | 177.08 Mn |
| Jul 31, 2022 | 144.16 Mn |
| May 1, 2022 | 144.72 Mn |
| Jan 30, 2022 | 152.16 Mn |
| Oct 31, 2021 | 150.34 Mn |
Chewy Other Operating Expenses 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=other-operating-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();