Sportsman'S Warehouse Holdings (SPWH) Operating Expenses (2013 - 2026)
Sportsman'S Warehouse Holdings (SPWH) reported Operating Expenses of $97.14 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), unchanged from $97.17 million a year earlier and up 3.5% from the prior quarter.
Sportsman'S Warehouse Holdings (SPWH) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Sportsman'S Warehouse Holdings' Operating Expenses came in at $391.65 million, down 0.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $393.04 million, up 1.1% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $388.71 million in FY2025 (-4.9%), $408.75 million in FY2024 (+1.6%), $402.18 million in FY2023 (+0.6%) and $399.68 million in FY2022 (+13.0%).
- Five-year quarterly Operating Expenses spans a low of $93.89 million in fiscal Q1 2027 and a high of $113.42 million in fiscal Q4 2022.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 0.5%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 10.5%); the low point was fiscal Q2 2025 (a decline of 7.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $93.89 million (Q1 2027), $96.17 million (Q4 2026) and $104.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Sportsman'S Warehouse Holdings | 45.38 Mn | 37.44 Mn | 96.01 Mn | 97.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 97.14 Mn |
| May 2, 2026 | 93.89 Mn |
| Jan 31, 2026 | 96.17 Mn |
| Nov 1, 2025 | 104.45 Mn |
| Aug 2, 2025 | 97.17 Mn |
| May 3, 2025 | 95.26 Mn |
| Feb 1, 2025 | 99.98 Mn |
| Nov 2, 2024 | 99.97 Mn |
| Aug 3, 2024 | 94.34 Mn |
| May 4, 2024 | 94.41 Mn |
| Feb 3, 2024 | 107.30 Mn |
| Oct 28, 2023 | 100.11 Mn |
| Jul 29, 2023 | 102.33 Mn |
| Apr 29, 2023 | 99.00 Mn |
| Jan 28, 2023 | 106.75 Mn |
| Oct 29, 2022 | 102.32 Mn |
| Jul 30, 2022 | 97.02 Mn |
| Apr 30, 2022 | 96.09 Mn |
| Jan 29, 2022 | 113.42 Mn |
| Oct 30, 2021 | 99.97 Mn |
Sportsman'S Warehouse Holdings 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=SPWH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SPWH", "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=SPWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();