SRX Global (SRXH) Free Cash Flow (2010 - 2025)
SRX Global's Free Cash Flow came in at -$2.92 million for FY2025 (year ended Dec 31, 2025).
Analysis
SRX Global (SRXH) Free Cash Flow (2010 - 2025) Analysis & Trends
Going back to FY2011, SRX Global's Free Cash Flow data covers 14 fiscal years.
- The FY2025 figure represents the lowest annual Free Cash Flow since FY2022.
- Per Business Quant, earlier fiscal years put Free Cash Flow at $79,000 in FY2023, -$20.75 million in FY2022 and -$12.21 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 513.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 329.49 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 893.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 207.30 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 337.30 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 337.10 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 172.44 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 89.50 Mn |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | -2.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2.92 Mn |
| Mar 31, 2025 | 377,000.00 |
| Dec 31, 2024 | 1.46 Mn |
| Sep 30, 2024 | -2.21 Mn |
| Jun 30, 2024 | 5,000.00 |
| Mar 31, 2024 | -1.01 Mn |
| Dec 31, 2023 | 983,000.00 |
| Sep 30, 2023 | 343,000.00 |
| Jun 30, 2023 | 236,000.00 |
| Mar 31, 2023 | -1.48 Mn |
| Dec 31, 2022 | -2.58 Mn |
| Sep 30, 2022 | -4.98 Mn |
| Jun 30, 2022 | -5.37 Mn |
| Mar 31, 2022 | -7.82 Mn |
| Dec 31, 2021 | -3.77 Mn |
| Sep 30, 2021 | -3.73 Mn |
| Jun 30, 2021 | -2.39 Mn |
| Mar 31, 2021 | -2.33 Mn |
| Dec 31, 2020 | -3.09 Mn |
| Sep 30, 2020 | -2.39 Mn |
API Access
SRX Global Free 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=free-cash-flow&ticker=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-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=free-cash-flow&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();