Maximus (MMS) Shares Outstanding (2009 - 2026)
Maximus (MMS) recorded Weighted Average Shares Outstanding of 52.85 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.8% from 56.68 million a year earlier and down 2.6% from the prior quarter.
Maximus (MMS) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Maximus reported Weighted Average Shares Outstanding of 57.41 million, down 6.0% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for 12 straight fiscal years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier fiscal years, Weighted Average Shares Outstanding came in at 61.05 million in FY2024 (-0.1%), 61.13 million in FY2023 (-1.1%), 61.77 million in FY2022 (-0.5%) and 62.07 million in FY2021 (-1.6%).
- The fiscal Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q1 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined for nine consecutive quarters, with an average decline of 5.3% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 0.4% in fiscal Q2 2024, against a decline of 8.2% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 54.24 million (Q2 2026), 54.84 million (Q1 2026) and 57.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn | 612.48 Mn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn | 297.99 Mn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn | 431.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn | 478.97 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn | 202.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn | 263.59 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - | 504.80 Mn |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn | 63.75 Mn |
| 10 | Maximus | 3.44 Bn | 2.87 Bn | 348.80 Mn | 52.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.85 Mn |
| Mar 31, 2026 | 54.24 Mn |
| Dec 31, 2025 | 54.84 Mn |
| Sep 30, 2025 | 57.41 Mn |
| Jun 30, 2025 | 56.68 Mn |
| Mar 31, 2025 | 56.89 Mn |
| Dec 31, 2024 | 59.73 Mn |
| Sep 30, 2024 | 61.05 Mn |
| Jun 30, 2024 | 61.08 Mn |
| Mar 31, 2024 | 61.37 Mn |
| Dec 31, 2023 | 61.32 Mn |
| Sep 30, 2023 | 61.13 Mn |
| Jun 30, 2023 | 61.14 Mn |
| Mar 31, 2023 | 61.12 Mn |
| Dec 31, 2022 | 61.12 Mn |
| Sep 30, 2022 | 61.77 Mn |
| Jun 30, 2022 | 61.61 Mn |
| Mar 31, 2022 | 62.23 Mn |
| Dec 31, 2021 | 62.26 Mn |
| Sep 30, 2021 | 62.07 Mn |
Maximus Shares Outstanding 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&ticker=MMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MMS", "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&ticker=MMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();