Petmed Express (PETS) Operating Expenses (2010 - 2026)
Petmed Express (PETS) reported Operating Expenses of $17.57 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 63.8% from $48.54 million a year earlier and down 10.5% from the prior quarter.
Petmed Express (PETS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Petmed Express' Operating Expenses came in at $77.92 million, down 25.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $108.89 million, up 54.1% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $70.67 million in FY2025 (-24.0%), $92.93 million in FY2024 (+31.9%), $70.45 million in FY2023 (+33.8%) and $52.65 million in FY2022 (-2.1%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Operating Expenses since fiscal Q3 2025.
- Year over year, Operating Expenses gained in three of the last eight quarters, with growth averaging 18.7%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2026 (growth of 231.3%); the low point was fiscal Q1 2027 (a decline of 63.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $19.63 million (Q4 2026), $19.93 million (Q3 2026) and $20.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Petmed Express | 30.36 Mn | -67.17 Mn | 11.33 Mn | 17.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.57 Mn |
| Mar 31, 2026 | 19.63 Mn |
| Dec 31, 2025 | 19.93 Mn |
| Sep 30, 2025 | 20.80 Mn |
| Jun 30, 2025 | 48.54 Mn |
| Mar 31, 2025 | 21.22 Mn |
| Dec 31, 2024 | 16.58 Mn |
| Sep 30, 2024 | 18.22 Mn |
| Jun 30, 2024 | 14.65 Mn |
| Mar 31, 2024 | 22.92 Mn |
| Dec 31, 2023 | 22.50 Mn |
| Sep 30, 2023 | 20.38 Mn |
| Jun 30, 2023 | 27.13 Mn |
| Mar 31, 2023 | 18.26 Mn |
| Dec 31, 2022 | 17.34 Mn |
| Sep 30, 2022 | 17.30 Mn |
| Jun 30, 2022 | 17.55 Mn |
| Mar 31, 2022 | 12.63 Mn |
| Dec 31, 2021 | 12.58 Mn |
| Sep 30, 2021 | 11.09 Mn |
Petmed Express Operating Expenses 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=operating-expenses&ticker=PETS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PETS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();