SRX Global (SRXH) Interest Coverage Ratio (2010 - 2025)
SRX Global's (SRXH) Interest Coverage Ratio was -2.94 for FY2025 (year ended Dec 31, 2025).
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Analysis
SRX Global (SRXH) Interest Coverage Ratio (2010 - 2025) Analysis & Trends
Dating back to FY2011, SRX Global's Interest Coverage Ratio record includes 11 fiscal years.
- The FY2025 figure ranks as the highest annual Interest Coverage Ratio since FY2018.
- According to Business Quant data, Interest Coverage Ratio came in at -15.65 in FY2023 and -70.39 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -207.45 |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 4.41 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.65 |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | -2.94 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2.94 |
| Jun 30, 2025 | -286.87 |
| Jun 30, 2024 | -7.34 |
| Mar 31, 2024 | -6.81 |
| Jun 30, 2023 | -6.82 |
| Mar 31, 2023 | -14.21 |
| Nov 30, 2018 | -1.10 |
| Aug 31, 2018 | 2.11 |
| May 31, 2018 | -0.65 |
| Feb 28, 2018 | -0.09 |
| Nov 30, 2017 | -0.62 |
| Aug 31, 2017 | -0.85 |
| May 31, 2017 | -0.42 |
| Feb 28, 2017 | -1.11 |
| Nov 30, 2016 | -0.46 |
| Aug 31, 2016 | -0.67 |
| May 31, 2016 | -1.57 |
| Feb 29, 2016 | -1,870.50 |
| Nov 30, 2015 | -7.29 |
| Aug 31, 2015 | -0.84 |
API Access
SRX Global Interest Coverage 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=interest-coverage-ratio&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-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=interest-coverage-ratio&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();