Petmed Express (PETS) Total Current Liabilities (2011 - 2026)
Petmed Express (PETS) recorded Total Current Liabilities of $40.6 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 29.5% from $57.62 million a year earlier and down 22.0% from the prior quarter.
Petmed Express (PETS) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Petmed Express reported Total Current Liabilities of $52.03 million, down 17.1% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 3.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $62.77 million in FY2025 (-13.0%), $72.16 million in FY2024 (+25.5%), $57.51 million in FY2023 (+2.2%) and $56.25 million in FY2022 (+25.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Current Liabilities since fiscal Q2 2023.
- On a year-over-year basis, Total Current Liabilities rose in two of the last eight quarters, with an average decline of 10.6%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 229.6% in fiscal Q1 2024, against a decline of 33.8% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $52.03 million (Q4 2026), $54.77 million (Q3 2026) and $56.68 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 115.63 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 42.13 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 10.52 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 18.42 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 7.27 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 1.36 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 3.30 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 3.91 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 3.19 Bn |
| 10 | Petmed Express | 30.36 Mn | -67.17 Mn | 11.33 Mn | 40.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.60 Mn |
| Mar 31, 2026 | 52.03 Mn |
| Dec 31, 2025 | 54.77 Mn |
| Sep 30, 2025 | 56.68 Mn |
| Jun 30, 2025 | 57.62 Mn |
| Mar 31, 2025 | 62.77 Mn |
| Dec 31, 2024 | 47.96 Mn |
| Sep 30, 2024 | 48.83 Mn |
| Jun 30, 2024 | 58.30 Mn |
| Mar 31, 2024 | 72.16 Mn |
| Dec 31, 2023 | 72.40 Mn |
| Sep 30, 2023 | 61.24 Mn |
| Jun 30, 2023 | 78.76 Mn |
| Mar 31, 2023 | 57.51 Mn |
| Dec 31, 2022 | 54.74 Mn |
| Sep 30, 2022 | 30.57 Mn |
| Jun 30, 2022 | 23.90 Mn |
| Mar 31, 2022 | 56.25 Mn |
| Dec 31, 2021 | 26.27 Mn |
| Sep 30, 2021 | 16.27 Mn |
Petmed Express Total Current 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-current-liabilities&ticker=PETS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=PETS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();