SRX Global (SRXH) Net Long-Term Debt Issued (Repaid) (2010 - 2025)
SRX Global's Non-Current Debt came in at $1.23 million for FY2018 (year ended Aug 31, 2018).
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Analysis
SRX Global (SRXH) Net Long-Term Debt Issued (Repaid) (2010 - 2025) Analysis & Trends
- Non-Current Debt carries a three-year compound annual growth rate of 277.7% (FY2015 to FY2018).
- Per Business Quant, earlier fiscal years put Non-Current Debt at $1,700 in FY2016 (-92.6%) and $22,875 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -1.00 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | -1.70 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -220.00 Mn |
| 10 | SRX Global | 10.85 Mn | -69.75 Mn | 904,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.62 Mn |
| Mar 31, 2025 | -1.19 Mn |
| Dec 31, 2024 | -4.88 Mn |
| Jun 30, 2024 | -588,000.00 |
| Mar 31, 2024 | 430,000.00 |
| Dec 31, 2023 | 2.93 Mn |
| Sep 30, 2023 | -2.98 Mn |
| Jun 30, 2023 | -6.54 Mn |
| Dec 31, 2022 | -623,000.00 |
| Sep 30, 2022 | -225,000.00 |
| Jun 30, 2022 | -225,000.00 |
| Mar 31, 2022 | 2.30 Mn |
| Dec 31, 2021 | -150,000.00 |
| Sep 30, 2021 | 230,000.00 |
| Jun 30, 2021 | -149,000.00 |
| Mar 31, 2021 | 3.08 Mn |
| Dec 31, 2020 | -12.52 Mn |
| Sep 30, 2020 | 5.55 Mn |
| Jun 30, 2020 | 2.93 Mn |
| Mar 31, 2020 | 500,000.00 |
API Access
SRX Global Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();