Mistras (MG) Shares Outstanding (2010 - 2026)
Mistras (MG) posted Weighted Average Shares Outstanding of 31.85 million for Q3 2026, up 1.0% from 31.54 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Mistras (MG) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Mistras' Weighted Average Shares Outstanding came in at 31.41 million, up 1.6% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for seven consecutive years, with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Mistras' Weighted Average Shares Outstanding was 30.93 million in FY2024 (+2.0%), 30.33 million in FY2023 (+1.4%), 29.9 million in FY2022 (+1.1%) and 29.57 million in FY2021 (+1.5%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2017.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 31 quarters, with growth averaging 1.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.7% in Q1 2022 to 2.2% in Q1 2024.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 31.83 million (Q2 2026), 31.62 million (Q1 2026) and 31.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 612.48 Mn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 297.99 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 478.97 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 431.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 202.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 263.59 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 63.75 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | 504.80 Mn |
| 10 | Mistras | 642.16 Mn | 548.18 Mn | 62.04 Mn | 31.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.85 Mn |
| Jun 30, 2026 | 31.83 Mn |
| Mar 31, 2026 | 31.62 Mn |
| Dec 31, 2025 | 31.41 Mn |
| Sep 30, 2025 | 31.54 Mn |
| Jun 30, 2025 | 31.44 Mn |
| Mar 31, 2025 | 31.10 Mn |
| Dec 31, 2024 | 30.93 Mn |
| Sep 30, 2024 | 31.00 Mn |
| Jun 30, 2024 | 30.98 Mn |
| Mar 31, 2024 | 30.68 Mn |
| Dec 31, 2023 | 30.33 Mn |
| Sep 30, 2023 | 30.40 Mn |
| Jun 30, 2023 | 30.37 Mn |
| Mar 31, 2023 | 30.02 Mn |
| Dec 31, 2022 | 29.90 Mn |
| Sep 30, 2022 | 29.97 Mn |
| Jun 30, 2022 | 29.96 Mn |
| Mar 31, 2022 | 29.63 Mn |
| Dec 31, 2021 | 29.57 Mn |
API Access
Mistras 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=MG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();