Chewy (CHWY) Operating Expenses (2018 - 2026)
Chewy's (CHWY) quarterly Operating Expenses came in at $919.2 million in Q3 2026, up 5.35% year-over-year from $872.5 million in Q3 2025, and up 4.11% on a QoQ basis from $882.9 million in Q2 2026.
Chewy (CHWY) Operating Expenses (2018 - 2026) Analysis & Trends
Chewy (CHWY) has 9 years of Operating Expenses data on file, last reported at $919.2 million in Q3 2026.
- On a quarterly basis, Operating Expenses rose 5.35% year-over-year to $919.2 million in Q3 2026; TTM through Aug 2026 was $3.6 billion, a 3.14% increase from a year earlier, with the FY2026 full-year figure at $3.5 billion, up 4.31% from the prior year.
- Operating Expenses for Q3 2026 stood at $919.2 million, up from $882.9 million in the prior quarter.
- Across five years, Operating Expenses topped out at $935.7 million in Q1 2025 and bottomed at $649.0 million in Q2 2022.
- Historically, Operating Expenses has averaged $805.4 million across 5 years, with a median of $811.7 million in 2024.
- The widest annual swing landed in 2022, when Operating Expenses advanced 28.05%; it then retreated 1.98% in 2026.
- Year by year, Operating Expenses stood at $720.6 million in 2022, then rose by 9.85% to $791.6 million in 2023, then advanced by 3.38% to $818.3 million in 2024, then advanced by 5.46% to $863.0 million in 2025, then gained by 6.51% to $919.2 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $919.2 million in Q3 2026, $882.9 million in Q2 2026, and $917.2 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | - |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | 8.46 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | 3.70 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 441.80 Mn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 411.10 Mn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 323.50 Mn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 919.20 Mn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | 401.10 Mn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn | 192.60 Mn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn | 2.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 919.20 Mn |
| May 3, 2026 | 882.90 Mn |
| Feb 1, 2026 | 917.20 Mn |
| Nov 2, 2025 | 863.00 Mn |
| Aug 3, 2025 | 872.50 Mn |
| May 4, 2025 | 846.90 Mn |
| Feb 2, 2025 | 935.70 Mn |
| Oct 27, 2024 | 818.30 Mn |
| Jul 28, 2024 | 811.70 Mn |
| Apr 28, 2024 | 789.40 Mn |
| Jan 28, 2024 | 820.02 Mn |
| Oct 29, 2023 | 791.58 Mn |
| Jul 30, 2023 | 805.38 Mn |
| Apr 30, 2023 | 768.12 Mn |
| Jan 29, 2023 | 747.32 Mn |
| Oct 30, 2022 | 720.61 Mn |
| Jul 31, 2022 | 661.14 Mn |
| May 1, 2022 | 649.00 Mn |
| Jan 30, 2022 | 681.97 Mn |
| Oct 31, 2021 | 616.77 Mn |
Chewy 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=operating-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();