SRX Global (SRXH) EBITDA (2010 - 2025)
SRX Global's EBITDA was -$3.78 million in FY2025 (year ended Dec 31, 2025), compared with $4.29 million in FY2024.
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Analysis
SRX Global (SRXH) EBITDA (2010 - 2025) Analysis & Trends
From FY2011 onward, SRX Global has reported EBITDA for 15 fiscal years.
- Annual EBITDA has moved between -$34.99 million (FY2022) and $4.29 million (FY2024) over five years.
- Per Business Quant data, EBITDA in earlier fiscal years was $4.29 million in FY2024, -$19.5 million in FY2023, -$34.99 million in FY2022 and -$13.57 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.42 Bn | 91.88 Bn | - | - |
| 2 | Mondelez International | 80.18 Bn | 73.45 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.87 Bn | 30.12 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.81 Bn | 14.23 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.48 Bn | 15.12 Bn | 1.49 Bn | 773.40 Mn |
| 6 | J M Smucker | 13.61 Bn | 13.40 Bn | 979.60 Mn | 639.10 Mn |
| 7 | Mccormick | 12.46 Bn | 11.52 Bn | 794.90 Mn | 293.60 Mn |
| 8 | Hormel Foods | 11.21 Bn | 7.88 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 8.62 Bn | 5.91 Bn | 1.01 Bn | 131.70 Mn |
| 10 | SRX Global | 622,785.74 | -15.80 Mn | 1.05 Mn | -2.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2.67 Mn |
| Jun 30, 2025 | -8.41 Mn |
| Mar 31, 2025 | -1.06 Mn |
| Dec 31, 2024 | 9.43 Mn |
| Sep 30, 2024 | -1.10 Mn |
| Jun 30, 2024 | -1.28 Mn |
| Mar 31, 2024 | -2.41 Mn |
| Dec 31, 2023 | -12.28 Mn |
| Sep 30, 2023 | -2.18 Mn |
| Jun 30, 2023 | -2.03 Mn |
| Mar 31, 2023 | -2.81 Mn |
| Dec 31, 2022 | -23.73 Mn |
| Sep 30, 2022 | -3.91 Mn |
| Jun 30, 2022 | -3.81 Mn |
| Mar 31, 2022 | -3.55 Mn |
| Dec 31, 2021 | -4.30 Mn |
| Sep 30, 2021 | -3.53 Mn |
| Jun 30, 2021 | -1.17 Mn |
| Mar 31, 2021 | -4.57 Mn |
| Dec 31, 2020 | -1.41 Mn |
API Access
SRX Global EBITDA 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=ebitda&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();