SRX Global (SRXH) Asset Utilization Ratio (2016 - 2025)
SRX Global's (SRXH) Asset Utilization Ratio came in at 0.16 for FY2025 (year ended Dec 31, 2025), down 79.9% from 0.79 in FY2024.
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Analysis
SRX Global (SRXH) Asset Utilization Ratio (2016 - 2025) Analysis & Trends
Since FY2016, SRX Global has reported Asset Utilization Ratio for 10 fiscal years.
- The FY2025 figure stands as the lowest annual Asset Utilization Ratio since FY2017.
- Business Quant data shows SRXH's Asset Utilization Ratio at 0.79 in FY2024 (-43.5%), 1.39 in FY2023 (+44.4%), 0.96 in FY2022 (+32.0%) and 0.73 in FY2021 (-10.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 0.75 |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 0.56 |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 0.87 |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 0.32 |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 0.61 |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 0.56 |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 0.45 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 0.91 |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.71 |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | 1.80 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.80 |
| Jun 30, 2025 | 1.64 |
| Mar 31, 2025 | 5.17 |
| Dec 31, 2024 | 3.27 |
| Sep 30, 2024 | 2.89 |
| Jun 30, 2024 | 4.86 |
| Mar 31, 2024 | 2.32 |
| Dec 31, 2023 | 1.62 |
| Sep 30, 2023 | 1.37 |
| Jun 30, 2023 | 1.25 |
| Mar 31, 2023 | 1.27 |
| Dec 31, 2022 | 1.06 |
| Sep 30, 2022 | 0.84 |
| Jun 30, 2022 | 0.80 |
| Mar 31, 2022 | 0.70 |
| Dec 31, 2021 | 0.60 |
| Sep 30, 2021 | 0.69 |
| Jun 30, 2021 | 0.83 |
| Mar 31, 2021 | 0.80 |
| Dec 31, 2020 | 0.84 |
API Access
SRX Global Asset Utilization Ratio 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-utilization-ratio&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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-utilization-ratio&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();