Chewy (CHWY) Total Liabilities (2019 - 2026)
Chewy's Total Liabilities came in at $3.37 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 23.5% from $2.73 billion a year earlier and up 17.0% from the prior quarter.
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Analysis
Chewy (CHWY) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Chewy's Total Liabilities was $2.87 billion, up 4.2% from FY2025.
- Total Liabilities has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $2.75 billion in FY2025 (+2.9%), $2.68 billion in FY2024 (+13.4%), $2.36 billion in FY2023 (+11.0%) and $2.13 billion in FY2022 (+18.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2019.
- Year-over-year, Total Liabilities has increased for 27 consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 2.0% (fiscal Q1 2025) to 25.3% (fiscal Q3 2022).
- Business Quant data shows CHWY's Total Liabilities at $2.88 billion (Q1 2027), $2.87 billion (Q4 2026) and $2.83 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.49 Bn | 90.95 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 80.62 Bn | 73.88 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.18 Bn | 29.42 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.00 Bn | 13.42 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.21 Bn | 14.85 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 12.99 Bn | 12.77 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 12.10 Bn | 11.16 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.59 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 8.36 Bn | 5.65 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Lamb Weston Holdings | 7.29 Bn | 6.91 Bn | 266.50 Mn | 5.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 3.37 Bn |
| May 3, 2026 | 2.88 Bn |
| Feb 1, 2026 | 2.87 Bn |
| Nov 2, 2025 | 2.83 Bn |
| Aug 3, 2025 | 2.73 Bn |
| May 4, 2025 | 2.68 Bn |
| Feb 2, 2025 | 2.75 Bn |
| Oct 27, 2024 | 2.73 Bn |
| Jul 28, 2024 | 2.62 Bn |
| Apr 28, 2024 | 2.56 Bn |
| Jan 28, 2024 | 2.68 Bn |
| Oct 29, 2023 | 2.54 Bn |
| Jul 30, 2023 | 2.54 Bn |
| Apr 30, 2023 | 2.51 Bn |
| Jan 29, 2023 | 2.36 Bn |
| Oct 30, 2022 | 2.33 Bn |
| Jul 31, 2022 | 2.25 Bn |
| May 1, 2022 | 2.13 Bn |
| Jan 30, 2022 | 2.13 Bn |
| Oct 31, 2021 | 2.13 Bn |
API Access
Chewy Total Liabilities 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=total-liabilities&ticker=CHWY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CHWY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();