SRX Global (SRXH) Shares Outstanding (Entity) (2010 - 2025)
SRX Global's Shares Outstanding (Entity) came in at 562,377 for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 40.3% from 400,870 a year earlier and up 35.4% from the prior quarter.
SRX Global (SRXH) Shares Outstanding (Entity) (2010 - 2025) Analysis & Trends
Going back to fiscal Q1 2011, SRX Global's Shares Outstanding (Entity) data covers 60 quarters.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding (Entity) was 400,870 in FY2024, 12,152 in FY2023 (-97.5%), 490,586 in FY2022 (+47.7%) and 332,186 in FY2021 (+130.3%).
- The fiscal Q4 2025 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q1 2011.
- Year-over-year, Shares Outstanding (Entity) increased in three of the last seven quarters, with growth averaging 15.0%.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in fiscal Q3 2021 (growth of 257.0%), and the weakest in fiscal Q4 2023 (a decline of 97.5%).
- Business Quant data shows SRXH's Shares Outstanding (Entity) at 415,332 (Q3 2025), 340,076 (Q2 2025) and 43,438 (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.28 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 202.19 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.19 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 534.69 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 106.82 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 269.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 550.35 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 401.40 Mn |
| 10 | SRX Global | 877,308.09 | 877,308.09 | 1.05 Mn | 562,377.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 562,377.00 |
| Sep 30, 2025 | 415,332.00 |
| Jun 30, 2025 | 340,076.00 |
| Mar 31, 2025 | 43,438.00 |
| Dec 31, 2024 | 400,870.00 |
| Sep 30, 2024 | 374,995.00 |
| Jun 30, 2024 | 366,551.00 |
| Mar 31, 2024 | 13,730.00 |
| Dec 31, 2023 | 12,152.00 |
| Sep 30, 2023 | 534,708.00 |
| Jun 30, 2023 | 509,704.00 |
| Mar 31, 2023 | 508,371.00 |
| Dec 31, 2022 | 490,586.00 |
| Sep 30, 2022 | 489,493.00 |
| Jun 30, 2022 | 489,493.00 |
| Mar 31, 2022 | 489,493.00 |
| Dec 31, 2021 | 332,186.00 |
| Sep 30, 2021 | 487,437.00 |
| Jun 30, 2021 | 185,479.00 |
| Mar 31, 2021 | 183,380.00 |
SRX Global Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=SRXH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=SRXH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();