Petmed Express (PETS) Total Liabilities (2011 - 2026)
Petmed Express' Total Liabilities came in at $40.77 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 30.1% from $58.29 million a year earlier and down 22.0% from the prior quarter.
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Analysis
Petmed Express (PETS) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Petmed Express' Total Liabilities was $52.25 million, down 17.8% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of -3.5% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $63.57 million in FY2025 (-13.1%), $73.15 million in FY2024 (+27.2%), $57.51 million in FY2023 (+2.2%) and $56.25 million in FY2022 (-10.1%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q2 2023.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 10.9%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2024 (growth of 226.1%), and the weakest in fiscal Q3 2025 (a decline of 33.7%).
- Business Quant data shows PETS's Total Liabilities at $52.25 million (Q4 2026), $55.2 million (Q3 2026) and $57.24 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 52.92 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Petmed Express | 30.36 Mn | -67.17 Mn | 11.33 Mn | 40.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.77 Mn |
| Mar 31, 2026 | 52.25 Mn |
| Dec 31, 2025 | 55.20 Mn |
| Sep 30, 2025 | 57.24 Mn |
| Jun 30, 2025 | 58.29 Mn |
| Mar 31, 2025 | 63.57 Mn |
| Dec 31, 2024 | 48.61 Mn |
| Sep 30, 2024 | 49.60 Mn |
| Jun 30, 2024 | 59.18 Mn |
| Mar 31, 2024 | 73.15 Mn |
| Dec 31, 2023 | 73.29 Mn |
| Sep 30, 2023 | 62.32 Mn |
| Jun 30, 2023 | 80.03 Mn |
| Mar 31, 2023 | 57.51 Mn |
| Dec 31, 2022 | 54.74 Mn |
| Sep 30, 2022 | 31.11 Mn |
| Jun 30, 2022 | 24.54 Mn |
| Mar 31, 2022 | 56.25 Mn |
| Dec 31, 2021 | 27.53 Mn |
| Sep 30, 2021 | 17.90 Mn |
API Access
Petmed Express 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=PETS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PETS", "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=PETS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();