Chewy (CHWY) Total Liabilities (2018 - 2026)
Chewy's (CHWY) quarterly Total Liabilities came in at $3.4 billion in Q3 2026, up 23.5% year-over-year from $2.7 billion in Q3 2025, and up 17.04% on a QoQ basis from $2.9 billion in Q2 2026.
Chewy (CHWY) Total Liabilities (2018 - 2026) Analysis & Trends
Chewy (CHWY) has 8 years of Total Liabilities data on file, last reported at $3.4 billion in Q3 2026.
- On a quarterly basis, Total Liabilities rose 23.5% year-over-year to $3.4 billion in Q3 2026; TTM through Aug 2026 was $3.4 billion, a 23.5% increase from a year earlier, with the FY2026 full-year figure at $2.9 billion, up 4.2% from the prior year.
- Total Liabilities for Q3 2026 stood at $3.4 billion, up from $2.9 billion in the prior quarter.
- Across five years, Total Liabilities topped out at $3.4 billion in Q3 2026 and bottomed at $2.1 billion in Q1 2022.
- Historically, Total Liabilities has averaged $2.6 billion across 5 years, with a median of $2.6 billion in 2024.
- The widest annual swing landed in 2025, when Total Liabilities increased 2.85%; it then rose 23.5% in 2026.
- Year by year, Total Liabilities stood at $2.3 billion in 2022, then gained by 9.29% to $2.5 billion in 2023, then rose by 7.52% to $2.7 billion in 2024, then grew by 3.32% to $2.8 billion in 2025, then rose by 19.29% to $3.4 billion in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $3.4 billion in Q3 2026, $2.9 billion in Q2 2026, and $2.9 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 137.23 Bn | 132.65 Bn | - | 68.14 Bn |
| 2 | Kraft Heinz | 28.45 Bn | 25.88 Bn | 2.03 Bn | 36.94 Bn |
| 3 | General Mills | 18.94 Bn | 18.49 Bn | 1.60 Bn | 22.64 Bn |
| 4 | Mccormick | 13.30 Bn | 13.55 Bn | 778.20 Mn | 8.90 Bn |
| 5 | J M Smucker | 12.94 Bn | 12.90 Bn | 979.60 Mn | 10.45 Bn |
| 6 | Hormel Foods | 11.19 Bn | 10.34 Bn | 471.52 Mn | 5.43 Bn |
| 7 | Chewy | 7.89 Bn | 7.28 Bn | 1.01 Bn | 3.37 Bn |
| 8 | Conagra Brands | 7.08 Bn | 6.86 Bn | 704.10 Mn | 10.92 Bn |
| 9 | Lamb Weston Holdings | 6.38 Bn | 6.31 Bn | 361.40 Mn | 5.56 Bn |
| 10 | Campbell'S | 6.03 Bn | 5.63 Bn | 650.00 Mn | 11.11 Bn |
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 | 2.46 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 | 2.07 Bn |
| Oct 31, 2021 | 2.13 Bn |
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_KEY
import 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();