Stran & Company (SWAG) Asset Writedowns and Impairment (2022 - 2024)
Stran & Company's Asset Writedowns and Impairment came in at $810,000 for Q4 2024.
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Analysis
Stran & Company (SWAG) Asset Writedowns and Impairment (2022 - 2024) Analysis & Trends
Going back to Q1 2022, Stran & Company's Asset Writedowns and Impairment data covers 8 quarters.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of 134.0% (FY2021 to FY2024).
- Going back by year, Asset Writedowns and Impairment was -$180,000 in FY2022 and $63,204 in FY2021.
- The Q4 2024 figure represents the highest quarterly Asset Writedowns and Impairment in data going back to Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn |
| 10 | Stran & Company | 27.40 Mn | -21.34 Mn | 10.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 810,000.00 |
| Sep 30, 2023 | -74,437.00 |
| Jun 30, 2023 | -12,025.00 |
| Mar 31, 2023 | -55,687.00 |
| Dec 31, 2022 | -113,215.00 |
| Sep 30, 2022 | -20,224.00 |
| Jun 30, 2022 | -46,625.00 |
| Mar 31, 2022 | 64.00 |
API Access
Stran & Company Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SWAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SWAG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=SWAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();