Mistras (MG) Shares Outstanding (Diluted) (2010 - 2026)
Mistras' Weighted Average Shares Outstanding (Diluted) was 33.04 million in Q3 2026, up 3.6% from 31.88 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Mistras (MG) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Mistras came in at 32.06 million, up 1.4% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for six consecutive years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 31.61 million in FY2024 (+4.2%), 30.33 million in FY2023 (+0.3%), 30.23 million in FY2022 (+0.3%) and 30.13 million in FY2021 (+3.4%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2017.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for six straight quarters, with growth averaging 2.4% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q1 2026 (growth of 5.0%); the worst was Q1 2025 (a decline of 0.8%).
- Per Business Quant data, MG's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 32.92 million (Q2 2026), 32.66 million (Q1 2026) and 32.06 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 617.50 Mn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 404.29 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 299.99 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 478.98 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 432.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 204.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 268.54 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 63.95 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | 507.00 Mn |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 33.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.04 Mn |
| Jun 30, 2026 | 32.92 Mn |
| Mar 31, 2026 | 32.66 Mn |
| Dec 31, 2025 | 32.06 Mn |
| Sep 30, 2025 | 31.88 Mn |
| Jun 30, 2025 | 31.69 Mn |
| Mar 31, 2025 | 31.10 Mn |
| Dec 31, 2024 | 31.61 Mn |
| Sep 30, 2024 | 31.66 Mn |
| Jun 30, 2024 | 31.29 Mn |
| Mar 31, 2024 | 31.36 Mn |
| Dec 31, 2023 | 30.33 Mn |
| Sep 30, 2023 | 30.40 Mn |
| Jun 30, 2023 | 30.66 Mn |
| Mar 31, 2023 | 30.02 Mn |
| Dec 31, 2022 | 30.23 Mn |
| Sep 30, 2022 | 30.25 Mn |
| Jun 30, 2022 | 30.23 Mn |
| Mar 31, 2022 | 29.63 Mn |
| Dec 31, 2021 | 30.13 Mn |
API Access
Mistras Shares Outstanding (Diluted) 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-diluted&ticker=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MG", "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-diluted&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();