SRX Global (SRXH) Total Current Liabilities (2011 - 2025)
SRX Global's Total Current Liabilities came in at $23.53 million for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 229.2% from $7.15 million a year earlier and up 564.1% from the prior quarter.
SRX Global (SRXH) Total Current Liabilities (2011 - 2025) Analysis & Trends
Going back to fiscal Q4 2011, SRX Global's Total Current Liabilities data covers 55 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $7.15 million in FY2024 (-47.8%), $13.69 million in FY2023 (+145.4%), $5.58 million in FY2022 (-24.0%) and $7.34 million in FY2021 (-86.5%).
- The five-year range for quarterly Total Current Liabilities is $3.54 million (fiscal Q3 2025) to $81.3 million (fiscal Q3 2024).
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 181.5%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q2 2025 (growth of 713.5%), and the weakest in fiscal Q3 2025 (a decline of 95.6%).
- Business Quant data shows SRXH's Total Current Liabilities at $3.54 million (Q3 2025), $74.11 million (Q2 2025) and $7.32 million (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.20 Bn |
| 10 | SRX Global | 894,179.45 | 894,179.45 | 1.05 Mn | 23.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23.53 Mn |
| Sep 30, 2025 | 3.54 Mn |
| Jun 30, 2025 | 74.11 Mn |
| Mar 31, 2025 | 7.32 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 81.30 Mn |
| Jun 30, 2024 | 9.11 Mn |
| Mar 31, 2024 | 14.27 Mn |
| Dec 31, 2023 | 13.69 Mn |
| Sep 30, 2023 | 13.17 Mn |
| Jun 30, 2023 | 11.53 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 5.58 Mn |
| Sep 30, 2022 | 8.93 Mn |
| Jun 30, 2022 | 7.38 Mn |
| Mar 31, 2022 | 8.20 Mn |
| Dec 31, 2021 | 7.34 Mn |
| Sep 30, 2021 | 6.49 Mn |
| Jun 30, 2021 | 24.95 Mn |
| Mar 31, 2021 | 55.07 Mn |
SRX Global Total 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-current-liabilities&ticker=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();