Sportsman'S Warehouse Holdings (SPWH) Operating Leases (2019 - 2026)
Sportsman'S Warehouse Holdings' Operating Leases was $263.75 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 13.0% from $303.28 million a year earlier and down 4.6% from the prior quarter.
Sportsman'S Warehouse Holdings (SPWH) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Operating Leases at Sportsman'S Warehouse Holdings came in at $279.93 million, down 8.9% from FY2025.
- Operating Leases shows a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $307.42 million in FY2025 (+0.1%), $307 million in FY2024 (+17.9%), $260.48 million in FY2023 (+10.3%) and $236.23 million in FY2022 (+3.5%).
- The fiscal Q2 2027 figure marks the lowest quarterly Operating Leases since fiscal Q4 2023.
- Compared with a year earlier, Operating Leases has declined for six straight quarters, with an average decline of 5.2% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q1 2024 (growth of 27.5%); the worst was fiscal Q2 2027 (a decline of 13.0%).
- Per Business Quant data, SPWH's Operating Leases in the three fiscal quarters before Q2 2027 was $276.49 million (Q1 2027), $279.93 million (Q4 2026) and $289.92 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Sportsman'S Warehouse Holdings | 45.38 Mn | 37.44 Mn | 96.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 263.75 Mn |
| May 2, 2026 | 276.49 Mn |
| Jan 31, 2026 | 279.93 Mn |
| Nov 1, 2025 | 289.92 Mn |
| Aug 2, 2025 | 303.28 Mn |
| May 3, 2025 | 311.97 Mn |
| Feb 1, 2025 | 307.42 Mn |
| Nov 2, 2024 | 313.45 Mn |
| Aug 3, 2024 | 319.02 Mn |
| May 4, 2024 | 314.89 Mn |
| Feb 3, 2024 | 307.00 Mn |
| Oct 28, 2023 | 299.38 Mn |
| Jul 29, 2023 | 298.77 Mn |
| Apr 29, 2023 | 296.64 Mn |
| Jan 28, 2023 | 260.48 Mn |
| Oct 29, 2022 | 261.10 Mn |
| Jul 30, 2022 | 243.60 Mn |
| Apr 30, 2022 | 232.61 Mn |
| Jan 29, 2022 | 236.23 Mn |
| Oct 30, 2021 | 231.50 Mn |
Sportsman'S Warehouse Holdings Operating Leases 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-leases&ticker=SPWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SPWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();