SRX Global (SRXH) Interest Expenses (2010 - 2026)
SRX Global (SRXH) posted Interest Expenses of $1.29 million for FY2025 (year ended Dec 31, 2025).
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Analysis
SRX Global (SRXH) Interest Expenses (2010 - 2026) Analysis & Trends
Since FY2011, SRX Global has reported Interest Expenses for 11 fiscal years.
- Annual Interest Expenses shows a three-year compound annual growth rate of 32.7% (FY2022 to FY2025).
- The FY2025 figure stands as the lowest annual Interest Expenses since FY2022.
- Business Quant data shows SRXH's Interest Expenses at $1.35 million in FY2023 (+145.6%) and $551,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | - |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | - |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 210.00 Mn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 142.20 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 68.40 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | SRX Global | 10.85 Mn | -69.75 Mn | 904,000.00 | 569,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 569,000.00 |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Jun 30, 2025 | -30,000.00 |
| Jun 30, 2024 | 180,000.00 |
| Mar 31, 2024 | 362,000.00 |
| Jun 30, 2023 | 379,000.00 |
| Mar 31, 2023 | 229,000.00 |
| Dec 31, 2022 | 551,000.00 |
| Jun 30, 2021 | 2.23 Mn |
| Mar 31, 2021 | 835,000.00 |
| Dec 31, 2020 | 533,000.00 |
| Sep 30, 2020 | 500,000.00 |
| Jun 30, 2020 | 2.43 Mn |
| Mar 31, 2020 | 2.30 Mn |
| Sep 30, 2019 | -41,000.00 |
| Jun 30, 2019 | -62,000.00 |
| Nov 30, 2018 | 133,545.00 |
| Aug 31, 2018 | -340,767.00 |
| May 31, 2018 | 366,791.00 |
API Access
SRX Global Interest Expenses 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-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();