Mastech Digital (MHH) Total Liabilities (2010 - 2026)
Mastech Digital (MHH) reported Total Liabilities of $17.74 million for Q2 2026, down 21.4% from $22.58 million a year earlier but up 4.8% from the prior quarter.
Mastech Digital (MHH) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Mastech Digital posted Total Liabilities of $22.53 million, down 6.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $24.05 million in FY2024 (+1.1%), $23.78 million in FY2023 (+4.0%), $22.88 million in FY2022 (-42.3%) and $39.64 million in FY2021 (-6.8%).
- Five-year quarterly Total Liabilities spans a low of $16.93 million in Q1 2026 and a high of $44.91 million in Q3 2021.
- Year over year, Total Liabilities has now declined in each of the last six quarters, with an average decline of 7.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 43.1%); the low point was Q1 2023 (a decline of 43.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.93 million (Q1 2026), $22.53 million (Q4 2025) and $24.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Mastech Digital | 86.25 Mn | -52.18 Mn | 12.00 Mn | 17.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.74 Mn |
| Mar 31, 2026 | 16.93 Mn |
| Dec 31, 2025 | 22.53 Mn |
| Sep 30, 2025 | 24.61 Mn |
| Jun 30, 2025 | 22.58 Mn |
| Mar 31, 2025 | 23.13 Mn |
| Dec 31, 2024 | 24.05 Mn |
| Sep 30, 2024 | 24.96 Mn |
| Jun 30, 2024 | 23.47 Mn |
| Mar 31, 2024 | 24.35 Mn |
| Dec 31, 2023 | 23.78 Mn |
| Sep 30, 2023 | 23.34 Mn |
| Jun 30, 2023 | 25.88 Mn |
| Mar 31, 2023 | 21.73 Mn |
| Dec 31, 2022 | 22.88 Mn |
| Sep 30, 2022 | 30.31 Mn |
| Jun 30, 2022 | 37.61 Mn |
| Mar 31, 2022 | 38.74 Mn |
| Dec 31, 2021 | 39.64 Mn |
| Sep 30, 2021 | 44.91 Mn |
Mastech Digital Total Liabilities 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=total-liabilities&ticker=MHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();