SRX Global (SRXH) Inventory (2016 - 2025)
SRX Global (SRXH) recorded Inventory of $1.32 million in fiscal Q4 2025 (quarter ended Dec 31, 2025), down 65.9% from $3.87 million a year earlier and down 36.6% from the prior quarter.
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Analysis
SRX Global (SRXH) Inventory (2016 - 2025) Analysis & Trends
Starting with fiscal Q3 2016, SRX Global's Inventory history includes 37 quarters.
- Annual Inventory has declined for three straight fiscal years, with a five-year compound annual growth rate of -23.0% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $3.87 million in FY2024 (-41.5%), $6.61 million in FY2023 (-35.5%), $10.26 million in FY2022 (+95.6%) and $5.25 million in FY2021 (+7.7%).
- The fiscal Q4 2025 figure is the lowest quarterly Inventory since fiscal Q4 2018.
- On a year-over-year basis, Inventory rose in 1 of the last eight quarters, with an average decline of 34.6%.
- Peak year-over-year performance for Inventory in the last five years was growth of 239.1% in fiscal Q3 2022, against a decline of 65.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.08 million (Q3 2025), $5.13 million (Q2 2025) and $4.51 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | 5.17 Bn |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 4.41 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 1.74 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 3.31 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 2.16 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 1.19 Bn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 1.80 Bn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 924.70 Mn |
| 10 | SRX Global | 624,135.25 | -15.79 Mn | 1.05 Mn | 1.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 2.08 Mn |
| Jun 30, 2025 | 5.13 Mn |
| Mar 31, 2025 | 4.51 Mn |
| Dec 31, 2024 | 3.87 Mn |
| Sep 30, 2024 | 3.37 Mn |
| Jun 30, 2024 | 3.83 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 6.61 Mn |
| Sep 30, 2023 | 7.54 Mn |
| Jun 30, 2023 | 8.56 Mn |
| Mar 31, 2023 | 8.88 Mn |
| Dec 31, 2022 | 10.26 Mn |
| Sep 30, 2022 | 11.61 Mn |
| Jun 30, 2022 | 10.49 Mn |
| Mar 31, 2022 | 8.28 Mn |
| Dec 31, 2021 | 5.25 Mn |
| Sep 30, 2021 | 3.42 Mn |
| Jun 30, 2021 | 5.20 Mn |
| Mar 31, 2021 | 4.58 Mn |
API Access
SRX Global 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=inventory&ticker=SRXH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();