Mastech Digital (MHH) Retained Earnings (2010 - 2026)
Mastech Digital's Retained Earnings was $56.6 million in Q3 2026, up 2.1% from $55.45 million a year earlier and unchanged from the prior quarter.
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Analysis
Mastech Digital (MHH) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Mastech Digital came in at $56.43 million, up 1.1% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $55.82 million in FY2024 (+6.5%), $52.42 million in FY2023 (-12.0%), $59.55 million in FY2022 (+17.1%) and $50.84 million in FY2021 (+31.6%).
- Quarterly Retained Earnings has moved between $50.84 million (Q4 2021) and $59.81 million (Q1 2023) over five years.
- Compared with a year earlier, Retained Earnings has increased for four straight quarters, with growth averaging 2.9% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q1 2022 (growth of 33.6%); the worst was Q1 2024 (a decline of 12.6%).
- Per Business Quant data, MHH's Retained Earnings in the three quarters before Q3 2026 was $56.59 million (Q2 2026), $56.69 million (Q1 2026) and $56.43 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 14,317.00 |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 14.92 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 6.69 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | -1.37 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | 5.20 Bn |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 4.40 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 7.06 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 2.09 Bn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 3.51 Bn |
| 10 | Mastech Digital | 78.19 Mn | -65.44 Mn | 12.05 Mn | 56.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.60 Mn |
| Jun 30, 2026 | 56.59 Mn |
| Mar 31, 2026 | 56.69 Mn |
| Dec 31, 2025 | 56.43 Mn |
| Sep 30, 2025 | 55.45 Mn |
| Jun 30, 2025 | 54.51 Mn |
| Mar 31, 2025 | 54.38 Mn |
| Dec 31, 2024 | 55.82 Mn |
| Sep 30, 2024 | 55.52 Mn |
| Jun 30, 2024 | 53.65 Mn |
| Mar 31, 2024 | 52.25 Mn |
| Dec 31, 2023 | 52.42 Mn |
| Sep 30, 2023 | 57.77 Mn |
| Jun 30, 2023 | 57.64 Mn |
| Mar 31, 2023 | 59.81 Mn |
| Dec 31, 2022 | 59.55 Mn |
| Sep 30, 2022 | 58.02 Mn |
| Jun 30, 2022 | 55.61 Mn |
| Mar 31, 2022 | 53.17 Mn |
| Dec 31, 2021 | 50.84 Mn |
API Access
Mastech Digital Retained Earnings 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=retained-earnings&ticker=MHH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();