Myr (MYRG) Total Non-Current Liabilities (2010 - 2026)
Myr's Total Non-Current Liabilities came in at $1.23 billion for Q3 2026, up 28.8% from $957.65 million a year earlier and up 41.9% 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 $930.53 million, up 13.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $818.59 million in FY2024 (-3.8%), $850.71 million in FY2023 (+10.3%), $771.37 million in FY2022 (+42.9%) and $539.91 million in FY2021 (+7.4%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 47.4%), and the weakest in Q2 2026 (a decline of 7.1%).
- Business Quant data shows MYRG's Total Non-Current Liabilities at $869.1 million (Q2 2026), $920.9 million (Q1 2026) and $930.53 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 81.24 Bn | 77.62 Bn | 2.01 Bn | 20.78 Bn |
| 2 | Ferrovial | 42.25 Bn | 20.50 Bn | - | 15.61 Bn |
| 3 | Emcor | 26.97 Bn | 23.24 Bn | 1.11 Bn | 6.50 Bn |
| 4 | Jacobs Solutions | 17.52 Bn | 12.19 Bn | 810.70 Mn | 4.54 Bn |
| 5 | Mastec | 13.80 Bn | 12.33 Bn | 660.86 Mn | 9.32 Bn |
| 6 | Aecom | 8.57 Bn | 3.69 Bn | -34.04 Mn | 9.33 Bn |
| 7 | Stantec | 8.47 Bn | 7.40 Bn | 1.36 Bn | 3.35 Bn |
| 8 | Sterling Infrastructure | 7.75 Bn | 6.16 Bn | 377.28 Mn | 1.88 Bn |
| 9 | Fluor | 6.43 Bn | -6.77 Bn | 179.00 Mn | 4.25 Bn |
| 10 | Myr | 4.09 Bn | 3.62 Bn | 171.24 Mn | 1.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.23 Bn |
| 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 |
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();