Mastech Digital (MHH) Total Liabilities (2010 - 2026)
Mastech Digital (MHH) reported Total Liabilities of $18.13 million for Q3 2026, down 26.3% from $24.61 million a year earlier but up 2.2% from the prior quarter.
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Analysis
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 $39.64 million in Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 11.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 12.0%); the low point was Q1 2023 (a decline of 43.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $17.74 million (Q2 2026), $16.93 million (Q1 2026) and $22.53 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 6.67 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 6.60 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 5.88 Bn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 16.95 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | - |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 32.54 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 31.30 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 1.09 Bn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 10.40 Bn |
| 10 | Mastech Digital | 78.19 Mn | -65.44 Mn | 12.05 Mn | 18.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.13 Mn |
| 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 |
API Access
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_KEYimport 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();