SRX Global (SRXH) Accumulated Expenses (2010 - 2026)
SRX Global (SRXH) reported Accumulated Expenses of $1.25 million for fiscal Q4 2025 (quarter ended Dec 31, 2025), down 18.3% from $1.54 million a year earlier and down 8.8% from the prior quarter.
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Analysis
SRX Global (SRXH) Accumulated Expenses (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, SRX Global's Accumulated Expenses record includes 30 quarters.
- Accumulated Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -18.1% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $1.54 million in FY2024 (-26.4%), $2.09 million in FY2023 (-19.7%), $2.6 million in FY2022 (+38.2%) and $1.88 million in FY2021 (-44.7%).
- The fiscal Q4 2025 figure ranks as the lowest quarterly Accumulated Expenses since fiscal Q2 2012.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2025 (growth of 138.1%); the low point was fiscal Q3 2021 (a decline of 70.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2025 came in at $1.38 million (Q3 2025), $3.24 million (Q2 2025) and $1.6 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn |
| 10 | SRX Global | 10.85 Mn | -69.75 Mn | 904,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.09 Mn |
| Mar 31, 2026 | 1.51 Mn |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 1.38 Mn |
| Jun 30, 2025 | 3.24 Mn |
| Mar 31, 2025 | 1.60 Mn |
| Dec 31, 2024 | 1.54 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 1.36 Mn |
| Mar 31, 2024 | 1.51 Mn |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 2.53 Mn |
| Jun 30, 2023 | 2.82 Mn |
| Mar 31, 2023 | 1.49 Mn |
| Dec 31, 2022 | 2.60 Mn |
| Sep 30, 2022 | 3.11 Mn |
| Jun 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 1.45 Mn |
| Dec 31, 2021 | 1.88 Mn |
| Sep 30, 2021 | 1.61 Mn |
API Access
SRX Global Accumulated 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=accumulated-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();