Petmed Express (PETS) Other Operating Expenses (2010 - 2026)
Petmed Express' Other Operating Expenses was $6.37 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 82.1% from $35.59 million a year earlier and down 22.5% from the prior quarter.
Petmed Express (PETS) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Petmed Express' Other Operating Expenses was $28.94 million through Jun 30, 2026, down 50.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $58.16 million, up 116.0% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 21.9% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $26.92 million in FY2025 (-17.4%), $32.58 million in FY2024 (+29.1%), $25.24 million in FY2023 (+34.0%) and $18.84 million in FY2022 (-13.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Other Operating Expenses since fiscal Q3 2025.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last eight quarters, with growth averaging 23.6%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q1 2026 (growth of 264.0%); the worst was fiscal Q1 2027 (a decline of 82.1%).
- Per Business Quant data, PETS's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $8.22 million (Q4 2026), $7.73 million (Q3 2026) and $6.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Petmed Express | 29.92 Mn | -67.60 Mn | 11.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.37 Mn |
| Mar 31, 2026 | 8.22 Mn |
| Dec 31, 2025 | 7.73 Mn |
| Sep 30, 2025 | 6.62 Mn |
| Jun 30, 2025 | 35.59 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 5.80 Mn |
| Sep 30, 2024 | 7.73 Mn |
| Jun 30, 2024 | 9.78 Mn |
| Mar 31, 2024 | 8.83 Mn |
| Dec 31, 2023 | 7.30 Mn |
| Sep 30, 2023 | 6.71 Mn |
| Jun 30, 2023 | 9.74 Mn |
| Mar 31, 2023 | 5.27 Mn |
| Dec 31, 2022 | 5.97 Mn |
| Sep 30, 2022 | 6.58 Mn |
| Jun 30, 2022 | 7.41 Mn |
| Mar 31, 2022 | 3.65 Mn |
| Dec 31, 2021 | 4.29 Mn |
| Sep 30, 2021 | 3.36 Mn |
Petmed Express Other 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=other-operating-expenses&ticker=PETS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PETS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();