Mastech Digital (MHH) Shares Outstanding (2010 - 2026)
Mastech Digital (MHH) recorded Weighted Average Shares Outstanding of 12.03 million in Q3 2026, up 2.3% from 11.76 million a year earlier and up 0.1% from the prior quarter.
Mastech Digital (MHH) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Mastech Digital reported Weighted Average Shares Outstanding of 11.75 million, up 0.7% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 13 straight years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 11.67 million in FY2024 (+0.5%), 11.61 million in FY2023 (+0.2%), 11.59 million in FY2022 (+1.3%) and 11.44 million in FY2021 (+1.3%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for ten consecutive quarters, with growth averaging 1.1% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 2.3% in Q3 2026, against a decline of 0.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.01 million (Q2 2026), 11.83 million (Q1 2026) and 11.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 4.11 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 466.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 10.48 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 125.10 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 222.69 Mn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 79.21 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 51.31 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 51.43 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 82.16 Mn |
| 10 | Mastech Digital | 78.19 Mn | -65.44 Mn | 12.05 Mn | 12.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.03 Mn |
| Jun 30, 2026 | 12.01 Mn |
| Mar 31, 2026 | 11.83 Mn |
| Dec 31, 2025 | 11.75 Mn |
| Sep 30, 2025 | 11.76 Mn |
| Jun 30, 2025 | 11.77 Mn |
| Mar 31, 2025 | 11.75 Mn |
| Dec 31, 2024 | 11.67 Mn |
| Sep 30, 2024 | 11.70 Mn |
| Jun 30, 2024 | 11.65 Mn |
| Mar 31, 2024 | 11.62 Mn |
| Dec 31, 2023 | 11.61 Mn |
| Sep 30, 2023 | 11.60 Mn |
| Jun 30, 2023 | 11.62 Mn |
| Mar 31, 2023 | 11.64 Mn |
| Dec 31, 2022 | 11.59 Mn |
| Sep 30, 2022 | 11.62 Mn |
| Jun 30, 2022 | 11.61 Mn |
| Mar 31, 2022 | 11.51 Mn |
| Dec 31, 2021 | 11.44 Mn |
Mastech Digital 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=MHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MHH", "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=MHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();