Sportsman'S Warehouse Holdings (SPWH) Accumulated Expenses (2014 - 2026)
Sportsman'S Warehouse Holdings' Accumulated Expenses came in at $110.52 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.6% from $99 million a year earlier but down 0.2% from the prior quarter.
Sportsman'S Warehouse Holdings (SPWH) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Sportsman'S Warehouse Holdings' Accumulated Expenses was $102.45 million, up 6.8% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $95.95 million in FY2025 (+14.7%), $83.67 million in FY2024 (-16.3%), $99.98 million in FY2023 (-8.3%) and $109.01 million in FY2022 (unchanged).
- The five-year range for quarterly Accumulated Expenses is $80.38 million (fiscal Q2 2025) to $115.79 million (fiscal Q3 2026).
- Year-over-year, Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 14.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2026 (growth of 23.2%), and the weakest in fiscal Q2 2023 (a decline of 19.3%).
- Business Quant data shows SPWH's Accumulated Expenses at $110.71 million (Q1 2027), $102.45 million (Q4 2026) and $115.79 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Sportsman'S Warehouse Holdings | 44.21 Mn | 36.27 Mn | 96.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 110.52 Mn |
| May 2, 2026 | 110.71 Mn |
| Jan 31, 2026 | 102.45 Mn |
| Nov 1, 2025 | 115.79 Mn |
| Aug 2, 2025 | 99.00 Mn |
| May 3, 2025 | 97.57 Mn |
| Feb 1, 2025 | 95.95 Mn |
| Nov 2, 2024 | 95.09 Mn |
| Aug 3, 2024 | 80.38 Mn |
| May 4, 2024 | 84.44 Mn |
| Feb 3, 2024 | 83.67 Mn |
| Oct 28, 2023 | 88.85 Mn |
| Jul 29, 2023 | 91.31 Mn |
| Apr 29, 2023 | 90.44 Mn |
| Jan 28, 2023 | 99.98 Mn |
| Oct 29, 2022 | 93.05 Mn |
| Jul 30, 2022 | 91.04 Mn |
| Apr 30, 2022 | 93.04 Mn |
| Jan 29, 2022 | 109.01 Mn |
| Oct 30, 2021 | 105.29 Mn |
Sportsman'S Warehouse Holdings Accumulated 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=accumulated-expenses&ticker=SPWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SPWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();