Matrix Service (MTRX) Total Liabilities (2011 - 2026)
Matrix Service's Total Liabilities came in at $460.75 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.7% from $457.54 million a year earlier but down 3.4% from the prior quarter.
Matrix Service (MTRX) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Matrix Service's Total Liabilities data covers 61 quarters.
- Total Liabilities has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 20.4% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $457.54 million in FY2025 (+59.3%), $287.17 million in FY2024 (+31.1%), $219.02 million in FY2023 (+2.8%) and $213.09 million in FY2022 (+17.1%).
- The five-year range for quarterly Total Liabilities is $181.98 million (fiscal Q1 2022) to $512.64 million (fiscal Q2 2026).
- Year-over-year, Total Liabilities has increased for ten consecutive quarters, with growth averaging 41.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2025 (growth of 68.9%), and the weakest in fiscal Q1 2022 (a decline of 11.8%).
- Business Quant data shows MTRX's Total Liabilities at $477.13 million (Q3 2026), $512.64 million (Q2 2026) and $461.92 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.42 Bn | 80.50 Bn | 1.55 Bn | 18.55 Bn |
| 2 | Ferrovial | 35.63 Bn | 13.87 Bn | - | 25.27 Bn |
| 3 | Emcor | 29.07 Bn | 25.46 Bn | 1.02 Bn | 6.08 Bn |
| 4 | Jacobs Solutions | 17.20 Bn | 11.87 Bn | 810.70 Mn | 8.48 Bn |
| 5 | Mastec | 13.31 Bn | 12.09 Bn | 556.28 Mn | 7.33 Bn |
| 6 | Sterling Infrastructure | 11.37 Bn | 9.70 Bn | 289.96 Mn | 1.80 Bn |
| 7 | IES Holdings | 8.77 Bn | 7.63 Bn | 340.66 Mn | 1.05 Bn |
| 8 | Stantec | 8.29 Bn | 7.22 Bn | 1.36 Bn | 3.38 Bn |
| 9 | Aecom | 7.82 Bn | 2.94 Bn | -34.04 Mn | 9.63 Bn |
| 10 | Matrix Service | 273.05 Mn | -574.21 Mn | 19.48 Mn | 460.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.75 Mn |
| Mar 31, 2026 | 477.13 Mn |
| Dec 31, 2025 | 512.64 Mn |
| Sep 30, 2025 | 461.92 Mn |
| Jun 30, 2025 | 457.54 Mn |
| Mar 31, 2025 | 463.03 Mn |
| Dec 31, 2024 | 361.91 Mn |
| Sep 30, 2024 | 313.64 Mn |
| Jun 30, 2024 | 287.17 Mn |
| Mar 31, 2024 | 274.20 Mn |
| Dec 31, 2023 | 225.92 Mn |
| Sep 30, 2023 | 203.16 Mn |
| Jun 30, 2023 | 219.02 Mn |
| Mar 31, 2023 | 245.94 Mn |
| Dec 31, 2022 | 246.67 Mn |
| Sep 30, 2022 | 189.66 Mn |
| Jun 30, 2022 | 213.09 Mn |
| Mar 31, 2022 | 200.24 Mn |
| Dec 31, 2021 | 194.95 Mn |
| Sep 30, 2021 | 181.98 Mn |
Matrix Service 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=MTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MTRX", "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=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();