Mastech Digital (MHH) Cost of Revenue (2010 - 2026)
Mastech Digital (MHH) posted Cost of Revenue of $29.94 million for Q3 2026, down 14.5% from $35.04 million a year earlier but up 1.7% from the prior quarter.
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Analysis
Mastech Digital (MHH) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Mastech Digital was $122.02 million, down 13.9% year-over-year; for FY2025, it was $138.32 million, down 3.5% from FY2024.
- Annual Cost of Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In prior years, Mastech Digital's Cost of Revenue was $143.35 million in FY2024 (-4.5%), $150.06 million in FY2023 (-16.2%), $179.06 million in FY2022 (+10.1%) and $162.57 million in FY2021 (+14.0%).
- Quarterly Cost of Revenue has run from a low of $29.45 million in Q2 2026 to a high of $46.86 million in Q3 2022 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last six quarters, with an average decline of 7.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 21.6%; the weakest was Q3 2023, with a decline of 24.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $29.45 million (Q2 2026), $30.06 million (Q1 2026) and $32.58 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 3.55 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 3.75 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 1.84 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 5.37 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | - |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 20.13 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 8.87 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 980.49 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 7.43 Bn |
| 10 | Mastech Digital | 78.19 Mn | -65.44 Mn | 12.05 Mn | 29.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.94 Mn |
| Jun 30, 2026 | 29.45 Mn |
| Mar 31, 2026 | 30.06 Mn |
| Dec 31, 2025 | 32.58 Mn |
| Sep 30, 2025 | 35.04 Mn |
| Jun 30, 2025 | 35.28 Mn |
| Mar 31, 2025 | 35.43 Mn |
| Dec 31, 2024 | 36.03 Mn |
| Sep 30, 2024 | 37.07 Mn |
| Jun 30, 2024 | 35.55 Mn |
| Mar 31, 2024 | 34.69 Mn |
| Dec 31, 2023 | 34.71 Mn |
| Sep 30, 2023 | 35.21 Mn |
| Jun 30, 2023 | 38.56 Mn |
| Mar 31, 2023 | 41.58 Mn |
| Dec 31, 2022 | 43.00 Mn |
| Sep 30, 2022 | 46.86 Mn |
| Jun 30, 2022 | 45.37 Mn |
| Mar 31, 2022 | 43.82 Mn |
| Dec 31, 2021 | 43.34 Mn |
API Access
Mastech Digital Cost of Revenue 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=cost-of-revenue&ticker=MHH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();