SRX Global (SRXH) Total Non-Current Liabilities (2019 - 2025)
SRX Global (SRXH) reported Total Non-Current Liabilities of $4.45 million for fiscal Q3 2025 (quarter ended Sep 30, 2025), down 41.3% from $7.58 million a year earlier and down 22.7% from the prior quarter.
SRX Global (SRXH) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
Dating back to fiscal Q2 2019, SRX Global's Total Non-Current Liabilities record includes 26 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -29.1% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $5,000 in FY2024 (-92.5%), $67,000 in FY2023 (-99.4%), $11.57 million in FY2022 (+22.5%) and $9.44 million in FY2021 (-61.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $5,000 in fiscal Q4 2024 and a high of $30.28 million in fiscal Q1 2021.
- Year over year, Total Non-Current Liabilities gained in 1 of the last seven quarters, with an average decline of 50.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q3 2024 (growth of 171.1%); the low point was fiscal Q1 2024 (a decline of 99.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2025 came in at $5.76 million (Q2 2025), $5,000 (Q1 2025) and $5,000 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 4.45 Mn |
| Jun 30, 2025 | 5.76 Mn |
| Mar 31, 2025 | 5,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 7.58 Mn |
| Jun 30, 2024 | 37,000.00 |
| Mar 31, 2024 | 52,000.00 |
| Dec 31, 2023 | 67,000.00 |
| Sep 30, 2023 | 2.80 Mn |
| Jun 30, 2023 | 2.65 Mn |
| Mar 31, 2023 | 11.57 Mn |
| Dec 31, 2022 | 11.57 Mn |
| Sep 30, 2022 | 10.39 Mn |
| Jun 30, 2022 | 11.26 Mn |
| Mar 31, 2022 | 11.62 Mn |
| Dec 31, 2021 | 9.44 Mn |
| Sep 30, 2021 | 9.64 Mn |
| Jun 30, 2021 | 9.97 Mn |
| Mar 31, 2021 | 30.28 Mn |
| Dec 31, 2020 | 24.78 Mn |
SRX Global Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();