Mastech Digital (MHH) Cash & Equivalents (2010 - 2026)
Mastech Digital's Cash & Equivalents was $35.6 million in Q2 2026, up 27.5% from $27.93 million a year earlier and up 6.1% from the prior quarter.
Mastech Digital (MHH) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Mastech Digital came in at $36.53 million, up 31.7% from FY2024.
- Cash & Equivalents has now increased for four consecutive years, with a five-year compound annual growth rate of 36.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $27.74 million in FY2024 (+31.2%), $21.15 million in FY2023 (+197.8%), $7.1 million in FY2022 (+7.2%) and $6.62 million in FY2021 (-13.7%).
- Quarterly Cash & Equivalents has moved between $3.48 million (Q3 2022) and $36.53 million (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for 15 straight quarters, with growth averaging 34.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2023 (growth of 356.1%); the worst was Q3 2022 (a decline of 36.1%).
- Per Business Quant data, MHH's Cash & Equivalents in the three quarters before Q2 2026 was $33.55 million (Q1 2026), $36.53 million (Q4 2025) and $32.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Mastech Digital | 85.89 Mn | -52.54 Mn | 12.00 Mn | 35.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.60 Mn |
| Mar 31, 2026 | 33.55 Mn |
| Dec 31, 2025 | 36.53 Mn |
| Sep 30, 2025 | 32.75 Mn |
| Jun 30, 2025 | 27.93 Mn |
| Mar 31, 2025 | 24.67 Mn |
| Dec 31, 2024 | 27.74 Mn |
| Sep 30, 2024 | 23.89 Mn |
| Jun 30, 2024 | 20.59 Mn |
| Mar 31, 2024 | 19.42 Mn |
| Dec 31, 2023 | 21.15 Mn |
| Sep 30, 2023 | 15.88 Mn |
| Jun 30, 2023 | 18.61 Mn |
| Mar 31, 2023 | 9.10 Mn |
| Dec 31, 2022 | 7.10 Mn |
| Sep 30, 2022 | 3.48 Mn |
| Jun 30, 2022 | 6.72 Mn |
| Mar 31, 2022 | 7.19 Mn |
| Dec 31, 2021 | 6.62 Mn |
| Sep 30, 2021 | 5.45 Mn |
Mastech Digital Cash & Equivalents 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=cash-and-equivalents&ticker=MHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();