SRX Global (SRXH) Change in Accured Expenses (2010 - 2025)
SRX Global (SRXH) posted Change in Accured Expenses of -$85,000 for FY2025 (year ended Dec 31, 2025).
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Analysis
SRX Global (SRXH) Change in Accured Expenses (2010 - 2025) Analysis & Trends
Since FY2011, SRX Global has reported Change in Accured Expenses for 12 fiscal years.
- The FY2025 figure stands as the highest annual Change in Accured Expenses since FY2022.
- Business Quant data shows SRXH's Change in Accured Expenses at -$760,000 in FY2023 and $99,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | -15.90 Mn |
| 10 | SRX Global | 899,803.21 | 899,803.21 | 1.05 Mn | -85,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -85,000.00 |
| Mar 31, 2025 | 67,000.00 |
| Sep 30, 2024 | 271,000.00 |
| Jun 30, 2024 | 234,000.00 |
| Mar 31, 2024 | -707,000.00 |
| Dec 31, 2023 | -687,000.00 |
| Sep 30, 2023 | -338,000.00 |
| Jun 30, 2023 | 1.34 Mn |
| Mar 31, 2023 | -1.07 Mn |
| Dec 31, 2022 | 39,000.00 |
| Dec 31, 2020 | -3.10 Mn |
| Sep 30, 2020 | 640,000.00 |
| Jun 30, 2020 | 161,000.00 |
| Mar 31, 2020 | -151,000.00 |
| Dec 31, 2019 | -2.21 Mn |
| Sep 30, 2019 | 1.73 Mn |
| Jun 30, 2019 | 1.39 Mn |
| Mar 31, 2019 | 233,000.00 |
| Nov 30, 2018 | 21,560.00 |
| Feb 28, 2018 | 72,193.00 |
API Access
SRX Global Change in Accured 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=change-in-accured-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();