SRX Global (SRXH) Asset Writedowns and Impairment (2016 - 2025)
SRX Global's Asset Writedowns and Impairment came in at $2.7 million for fiscal Q2 2025 (quarter ended Jun 30, 2025), down 68.4% from $8.53 million a year earlier.
SRX Global (SRXH) Asset Writedowns and Impairment (2016 - 2025) Analysis & Trends
Over the trailing twelve months to Jun 30, 2025, SRX Global reported Asset Writedowns and Impairment of $12.71 million, down 27.3% year-over-year; for FY2023 (ended Dec 31, 2023), it came in at $8.53 million, down 54.2% from FY2022.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 76.0% (FY2019 to FY2023).
- Going back by fiscal year, Asset Writedowns and Impairment was $18.61 million in FY2022, $265,000 in FY2021 and $889,000 in FY2019.
- The five-year range for quarterly Asset Writedowns and Impairment is -$682,000 (fiscal Q1 2023) to $18.1 million (fiscal Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | SRX Global | 899,803.21 | 899,803.21 | 1.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 2.70 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | -123,000.00 |
| Dec 31, 2023 | 9.52 Mn |
| Sep 30, 2023 | -440,000.00 |
| Jun 30, 2023 | 135,000.00 |
| Mar 31, 2023 | -682,000.00 |
| Dec 31, 2022 | 18.10 Mn |
| Sep 30, 2022 | 266,000.00 |
| Jun 30, 2022 | 23,000.00 |
| Mar 31, 2022 | 222,000.00 |
| Aug 31, 2016 | 81,700.00 |
| May 31, 2016 | 167,251.00 |
SRX Global 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=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SRXH", "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=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();