Petmed Express (PETS) Cash & Equivalents (2010 - 2026)
Petmed Express' Cash & Equivalents was $13.1 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 68.1% from $41.13 million a year earlier and down 38.8% from the prior quarter.
Petmed Express (PETS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Petmed Express came in at $21.41 million, down 60.9% from FY2025.
- Cash & Equivalents has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -29.0% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $54.72 million in FY2025 (-1.0%), $55.3 million in FY2024 (-46.9%), $104.1 million in FY2023 (-6.3%) and $111.1 million in FY2022 (-6.4%).
- The fiscal Q1 2027 figure marks the lowest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- Compared with a year earlier, Cash & Equivalents has declined for six straight quarters, with an average decline of 27.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2022 (growth of 2.3%); the worst was fiscal Q1 2027 (a decline of 68.1%).
- Per Business Quant data, PETS's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $21.41 million (Q4 2026), $26.91 million (Q3 2026) and $36.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Petmed Express | 29.92 Mn | -67.60 Mn | 11.33 Mn | 13.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.10 Mn |
| Mar 31, 2026 | 21.41 Mn |
| Dec 31, 2025 | 26.91 Mn |
| Sep 30, 2025 | 36.10 Mn |
| Jun 30, 2025 | 41.13 Mn |
| Mar 31, 2025 | 54.72 Mn |
| Dec 31, 2024 | 50.10 Mn |
| Sep 30, 2024 | 52.05 Mn |
| Jun 30, 2024 | 46.00 Mn |
| Mar 31, 2024 | 55.30 Mn |
| Dec 31, 2023 | 49.44 Mn |
| Sep 30, 2023 | 53.50 Mn |
| Jun 30, 2023 | 61.53 Mn |
| Mar 31, 2023 | 104.10 Mn |
| Dec 31, 2022 | 102.43 Mn |
| Sep 30, 2022 | 96.55 Mn |
| Jun 30, 2022 | 105.41 Mn |
| Mar 31, 2022 | 111.10 Mn |
| Dec 31, 2021 | 108.91 Mn |
| Sep 30, 2021 | 106.60 Mn |
Petmed Express Cash & Equivalents 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=cash-and-equivalents&ticker=PETS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PETS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();