SRX Global (SRXH) Operating Expenses (2010 - 2025)
SRX Global (SRXH) recorded Operating Expenses of $4.84 million in FY2025 (year ended Dec 31, 2025).
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Analysis
SRX Global (SRXH) Operating Expenses (2010 - 2025) Analysis & Trends
Starting with FY2011, SRX Global's Operating Expenses history includes 14 fiscal years.
- Annual Operating Expenses has a five-year compound annual growth rate of -35.5% (FY2020 to FY2025).
- The FY2025 figure is the lowest annual Operating Expenses since FY2017.
- Per Business Quant data, SRXH's Operating Expenses was $32.98 million in FY2023 (-39.0%), $54.04 million in FY2022 (+65.5%) and $32.65 million in FY2021 (-24.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | SRX Global | 894,179.45 | 894,179.45 | 1.05 Mn | 4.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.84 Mn |
| Jun 30, 2025 | 8.64 Mn |
| Mar 31, 2025 | 3.47 Mn |
| Dec 31, 2024 | 15.48 Mn |
| Sep 30, 2024 | 5.65 Mn |
| Jun 30, 2024 | 10.74 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Dec 31, 2023 | 13.26 Mn |
| Sep 30, 2023 | 7.05 Mn |
| Jun 30, 2023 | 6.17 Mn |
| Mar 31, 2023 | 6.50 Mn |
| Dec 31, 2022 | 25.82 Mn |
| Sep 30, 2022 | 10.57 Mn |
| Jun 30, 2022 | 8.99 Mn |
| Mar 31, 2022 | 8.67 Mn |
| Dec 31, 2021 | 7.73 Mn |
| Sep 30, 2021 | 8.41 Mn |
| Jun 30, 2021 | 7.10 Mn |
| Mar 31, 2021 | 9.41 Mn |
| Dec 31, 2020 | 6.38 Mn |
API Access
SRX Global Operating Expenses 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=operating-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();