Chewy (CHWY) Accumulated Expenses (2019 - 2026)
Chewy (CHWY) recorded Accumulated Expenses of $1.03 billion in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 6.8% from $967.2 million a year earlier and unchanged from the prior quarter.
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Analysis
Chewy (CHWY) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Chewy reported Accumulated Expenses of $1.08 billion, up 4.8% from FY2025.
- Annual Accumulated Expenses has increased for seven straight fiscal years, with a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $1.03 billion in FY2025 (+2.5%), $1.01 billion in FY2024 (+26.6%), $794.53 million in FY2023 (+4.3%) and $761.56 million in FY2022 (+26.4%).
- Quarterly Accumulated Expenses has ranged from $703.01 million in fiscal Q3 2022 to $1.08 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 28.0% in fiscal Q3 2022, against a decline of 0.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.03 billion (Q1 2027), $1.08 billion (Q4 2026) and $983.1 million (Q3 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.03 Bn |
| May 3, 2026 | 1.03 Bn |
| Feb 1, 2026 | 1.08 Bn |
| Nov 2, 2025 | 983.10 Mn |
| Aug 3, 2025 | 967.20 Mn |
| May 4, 2025 | 963.20 Mn |
| Feb 2, 2025 | 1.03 Bn |
| Oct 27, 2024 | 950.09 Mn |
| Jul 28, 2024 | 875.37 Mn |
| Apr 28, 2024 | 852.39 Mn |
| Jan 28, 2024 | 1.01 Bn |
| Oct 29, 2023 | 886.26 Mn |
| Jul 30, 2023 | 880.07 Mn |
| Apr 30, 2023 | 779.63 Mn |
| Jan 29, 2023 | 794.53 Mn |
| Oct 30, 2022 | 790.09 Mn |
| Jul 31, 2022 | 728.92 Mn |
| May 1, 2022 | 740.64 Mn |
| Jan 30, 2022 | 761.56 Mn |
| Oct 31, 2021 | 703.01 Mn |
API Access
Chewy Accumulated 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=accumulated-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();