SRX Global (SRXH) Net Cash Flow (2010 - 2025)
SRX Global (SRXH) posted Net Cash Flow of $11.75 million for FY2025 (year ended Dec 31, 2025).
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Analysis
SRX Global (SRXH) Net Cash Flow (2010 - 2025) Analysis & Trends
Since FY2011, SRX Global has reported Net Cash Flow for 12 fiscal years.
- Annual Net Cash Flow shows a five-year compound annual growth rate of 51.9% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Net Cash Flow since FY2021.
- Business Quant data shows SRXH's Net Cash Flow at -$5.02 million in FY2023, -$19.47 million in FY2022 and $24.95 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 126.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | -88.36 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -922.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | -27.70 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | -14.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 158.10 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 16.06 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 126.10 Mn |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | 11.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.75 Mn |
| Mar 31, 2025 | -1.93 Mn |
| Dec 31, 2024 | 605,000.00 |
| Sep 30, 2024 | 1.45 Mn |
| Jun 30, 2024 | -583,000.00 |
| Mar 31, 2024 | -579,000.00 |
| Dec 31, 2023 | 655,000.00 |
| Sep 30, 2023 | 193,000.00 |
| Jun 30, 2023 | -4.34 Mn |
| Mar 31, 2023 | -1.52 Mn |
| Dec 31, 2022 | -3.14 Mn |
| Sep 30, 2022 | -5.21 Mn |
| Jun 30, 2022 | -5.60 Mn |
| Mar 31, 2022 | -5.52 Mn |
| Dec 31, 2021 | -4.32 Mn |
| Sep 30, 2021 | 30.71 Mn |
| Jun 30, 2021 | -1.81 Mn |
| Mar 31, 2021 | 372,000.00 |
| Dec 31, 2020 | 1.91 Mn |
| Sep 30, 2020 | -1.41 Mn |
API Access
SRX Global Net Cash Flow 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=net-cash-flow&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();