Sportsman'S Warehouse Holdings (SPWH) Change in Accured Expenses (2013 - 2026)
Sportsman'S Warehouse Holdings (SPWH) posted Change in Accured Expenses of $1.54 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$1.7 million a year earlier and down 76.4% from the prior quarter.
Sportsman'S Warehouse Holdings (SPWH) Change in Accured Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Accured Expenses at Sportsman'S Warehouse Holdings was $14.74 million, up 241.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $8.83 million, up 88.7% from FY2025.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -26.8% (FY2021 to FY2026).
- In prior fiscal years, Sportsman'S Warehouse Holdings' Change in Accured Expenses was $4.68 million in FY2025, -$8.48 million in FY2024, -$14.56 million in FY2023 and -$2.93 million in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$15.4 million in fiscal Q1 2023 to a high of $11.61 million in fiscal Q3 2026 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $6.53 million (Q1 2027), -$4.95 million (Q4 2026) and $11.61 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Sportsman'S Warehouse Holdings | 44.21 Mn | 36.27 Mn | 96.01 Mn | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.54 Mn |
| May 2, 2026 | 6.53 Mn |
| Jan 31, 2026 | -4.95 Mn |
| Nov 1, 2025 | 11.61 Mn |
| Aug 2, 2025 | -1.70 Mn |
| May 3, 2025 | 3.87 Mn |
| Feb 1, 2025 | -5.05 Mn |
| Nov 2, 2024 | 7.20 Mn |
| Aug 3, 2024 | 1.17 Mn |
| May 4, 2024 | 1.35 Mn |
| Feb 3, 2024 | -4.06 Mn |
| Oct 28, 2023 | 2.62 Mn |
| Jul 29, 2023 | 2.15 Mn |
| Apr 29, 2023 | -9.18 Mn |
| Jan 28, 2023 | -3.19 Mn |
| Oct 29, 2022 | -688,000.00 |
| Jul 30, 2022 | 4.72 Mn |
| Apr 30, 2022 | -15.40 Mn |
| Jan 29, 2022 | -235,000.00 |
| Oct 30, 2021 | -1.29 Mn |
Sportsman'S Warehouse Holdings Change in Accured 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=change-in-accured-expenses&ticker=SPWH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SPWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();