Sportsman'S Warehouse Holdings (SPWH) Cash & Equivalents (2013 - 2026)
Sportsman'S Warehouse Holdings' Cash & Equivalents was $1.98 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.6% from $1.8 million a year earlier but down 3.7% from the prior quarter.
Sportsman'S Warehouse Holdings (SPWH) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Cash & Equivalents at Sportsman'S Warehouse Holdings came in at $1.66 million, down 41.4% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -52.1% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $2.83 million in FY2025 (-9.8%), $3.14 million in FY2024 (+31.5%), $2.39 million in FY2023 (-95.8%) and $57.02 million in FY2022 (-13.0%).
- Quarterly Cash & Equivalents has moved between $1.66 million (fiscal Q4 2026) and $57.71 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last eight quarters, with an average decline of 9.2%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2023 (growth of 129.7%); the worst was fiscal Q4 2023 (a decline of 95.8%).
- Per Business Quant data, SPWH's Cash & Equivalents in the three fiscal quarters before Q2 2027 was $2.05 million (Q1 2027), $1.66 million (Q4 2026) and $2.25 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Sportsman'S Warehouse Holdings | 44.21 Mn | 36.27 Mn | 96.01 Mn | 1.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.98 Mn |
| May 2, 2026 | 2.05 Mn |
| Jan 31, 2026 | 1.66 Mn |
| Nov 1, 2025 | 2.25 Mn |
| Aug 2, 2025 | 1.80 Mn |
| May 3, 2025 | 3.56 Mn |
| Feb 1, 2025 | 2.83 Mn |
| Nov 2, 2024 | 2.67 Mn |
| Aug 3, 2024 | 2.56 Mn |
| May 4, 2024 | 2.17 Mn |
| Feb 3, 2024 | 3.14 Mn |
| Oct 28, 2023 | 2.92 Mn |
| Jul 29, 2023 | 2.89 Mn |
| Apr 29, 2023 | 3.04 Mn |
| Jan 28, 2023 | 2.39 Mn |
| Oct 29, 2022 | 2.56 Mn |
| Jul 30, 2022 | 6.02 Mn |
| Apr 30, 2022 | 57.71 Mn |
| Jan 29, 2022 | 57.02 Mn |
| Oct 30, 2021 | 2.53 Mn |
Sportsman'S Warehouse Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=SPWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();