SRX Global (SRXH) Accumulated Expenses (2011 - 2025)
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.
SRX Global (SRXH) Accumulated Expenses (2011 - 2025) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn |
| 10 | SRX Global | 911,050.74 | 911,050.74 | 1.05 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 2.23 Mn |
| Mar 31, 2021 | 2.09 Mn |
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_KEY
import 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();