Myr (MYRG) Total Non-Current Liabilities (2010 - 2026)
Myr's Total Non-Current Liabilities came in at $877.52 million for Q2 2026, down 7.6% from $950.17 million a year earlier and down 5.6% from the prior quarter.
Myr (MYRG) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Myr's Total Non-Current Liabilities was $940.83 million, up 12.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $834.84 million in FY2024 (-4.7%), $875.75 million in FY2023 (+11.2%), $787.37 million in FY2022 (+42.9%) and $551.17 million in FY2021 (+5.8%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 2.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 43.7%), and the weakest in Q3 2021 (a decline of 9.0%).
- Business Quant data shows MYRG's Total Non-Current Liabilities at $929.28 million (Q1 2026), $940.83 million (Q4 2025) and $972.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 17.11 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | 15.61 Bn |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 5.66 Bn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 4.54 Bn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 6.93 Bn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 1.73 Bn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 1.02 Bn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 3.35 Bn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 9.33 Bn |
| 10 | Myr | 4.44 Bn | 3.91 Bn | 142.67 Mn | 869.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 869.10 Mn |
| Mar 31, 2026 | 920.90 Mn |
| Dec 31, 2025 | 930.53 Mn |
| Sep 30, 2025 | 957.65 Mn |
| Jun 30, 2025 | 935.71 Mn |
| Mar 31, 2025 | 905.85 Mn |
| Dec 31, 2024 | 818.59 Mn |
| Sep 30, 2024 | 930.82 Mn |
| Jun 30, 2024 | 865.08 Mn |
| Mar 31, 2024 | 840.28 Mn |
| Dec 31, 2023 | 850.71 Mn |
| Sep 30, 2023 | 863.67 Mn |
| Jun 30, 2023 | 789.86 Mn |
| Mar 31, 2023 | 712.61 Mn |
| Dec 31, 2022 | 771.37 Mn |
| Sep 30, 2022 | 727.33 Mn |
| Jun 30, 2022 | 670.70 Mn |
| Mar 31, 2022 | 597.73 Mn |
| Dec 31, 2021 | 539.91 Mn |
| Sep 30, 2021 | 493.38 Mn |
Myr Total Non-Current 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-non-current-liabilities&ticker=MYRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MYRG", "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-non-current-liabilities&ticker=MYRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();