SRX Global (SRXH) Change in Inventory (2016 - 2025)
SRX Global (SRXH) reported Change in Inventory of -$760,000 for FY2025 (year ended Dec 31, 2025).
Analysis
SRX Global (SRXH) Change in Inventory (2016 - 2025) Analysis & Trends
Dating back to FY2016, SRX Global's Change in Inventory record includes 9 fiscal years.
- The FY2025 figure ranks as the highest annual Change in Inventory since FY2022.
- According to Business Quant data, Change in Inventory came in at -$4.12 million in FY2023, $6.82 million in FY2022 (+962.5%) and $642,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 330.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 314.42 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 33.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 261.10 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 61.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 41.40 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | -83.10 Mn |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | -760,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -760,000.00 |
| Mar 31, 2025 | 643,000.00 |
| Dec 31, 2024 | -1.17 Mn |
| Sep 30, 2024 | 104,000.00 |
| Jun 30, 2024 | -1.25 Mn |
| Mar 31, 2024 | -1.53 Mn |
| Dec 31, 2023 | -1.40 Mn |
| Sep 30, 2023 | -1.02 Mn |
| Jun 30, 2023 | 356,000.00 |
| Mar 31, 2023 | -2.06 Mn |
| Dec 31, 2022 | -56,000.00 |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 2.23 Mn |
| Mar 31, 2022 | 3.26 Mn |
| Dec 31, 2021 | 2.09 Mn |
| Sep 30, 2021 | -1.78 Mn |
| Jun 30, 2021 | 619,000.00 |
| Mar 31, 2021 | -287,000.00 |
| Dec 31, 2020 | 4,000.00 |
| Sep 30, 2020 | -297,000.00 |
API Access
SRX Global Change in Inventory 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-inventory&ticker=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();