Sportsman'S Warehouse Holdings (SPWH) EBITDA (2013 - 2026)
Sportsman'S Warehouse Holdings' EBITDA came in at $7.46 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.2% from $6.71 million a year earlier.
Sportsman'S Warehouse Holdings (SPWH) EBITDA (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Sportsman'S Warehouse Holdings reported EBITDA of $2.77 million, down 88.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.74 million, down 92.2% from FY2025.
- EBITDA carries a five-year compound annual growth rate of -58.7% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $22.26 million in FY2025 (+62.8%), $13.67 million in FY2024 (-84.8%), $89.84 million in FY2023 (-23.1%) and $116.85 million in FY2022 (-19.2%).
- The five-year range for quarterly EBITDA is -$10.24 million (fiscal Q1 2025) to $36.31 million (fiscal Q3 2022).
- Year-over-year, EBITDA increased in four of the last five quarters, with growth averaging 87.3%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2025 (growth of 408.9%), and the weakest in fiscal Q4 2024 (a decline of 89.3%).
- Business Quant data shows SPWH's EBITDA at -$9.47 million (Q1 2027), -$9.1 million (Q4 2026) and $13.89 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Sportsman'S Warehouse Holdings | 45.38 Mn | 37.44 Mn | 96.01 Mn | 7.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.46 Mn |
| May 2, 2026 | -9.47 Mn |
| Jan 31, 2026 | -9.10 Mn |
| Nov 1, 2025 | 13.89 Mn |
| Aug 2, 2025 | 6.71 Mn |
| May 3, 2025 | -9.75 Mn |
| Feb 1, 2025 | 13.56 Mn |
| Nov 2, 2024 | 13.10 Mn |
| Aug 3, 2024 | 5.84 Mn |
| May 4, 2024 | -10.24 Mn |
| Feb 3, 2024 | 2.66 Mn |
| Oct 28, 2023 | 13.74 Mn |
| Jul 29, 2023 | 7.45 Mn |
| Apr 29, 2023 | -10.18 Mn |
| Jan 28, 2023 | 24.81 Mn |
| Oct 29, 2022 | 26.34 Mn |
| Jul 30, 2022 | 28.28 Mn |
| Apr 30, 2022 | 10.42 Mn |
| Jan 29, 2022 | 30.58 Mn |
| Oct 30, 2021 | 36.31 Mn |
Sportsman'S Warehouse Holdings EBITDA 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=ebitda&ticker=SPWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SPWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();