Myr (MYRG) EBITDA (2010 - 2026)
Myr (MYRG) posted EBITDA of $85.95 million for Q2 2026, up 53.1% from $56.13 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Myr (MYRG) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Myr was $295.21 million, up 55.2% year-over-year; for FY2025, it came in at $233.39 million, up 95.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, Myr's EBITDA was $119.3 million in FY2024 (-36.6%), $188.23 million in FY2023 (+8.7%), $173.12 million in FY2022 (+5.1%) and $164.77 million in FY2021 (+23.8%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q2 2010.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 30.9% over the last seven quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2025, with growth of 70.0%; the weakest was Q3 2024, with a decline of 21.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $82.49 million (Q1 2026), $63.77 million (Q4 2025) and $63.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.78 Bn | 88.85 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.66 Bn | 13.91 Bn | - | - |
| 3 | Emcor | 31.46 Bn | 27.86 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 16.46 Bn | 11.13 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 14.84 Bn | 13.62 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 12.87 Bn | 11.20 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 9.83 Bn | 8.69 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 7.84 Bn | 6.77 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.60 Bn | 2.72 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Myr | 4.39 Bn | 3.86 Bn | 142.67 Mn | 85.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.95 Mn |
| Mar 31, 2026 | 82.49 Mn |
| Dec 31, 2025 | 63.77 Mn |
| Sep 30, 2025 | 63.01 Mn |
| Jun 30, 2025 | 56.13 Mn |
| Mar 31, 2025 | 50.48 Mn |
| Dec 31, 2024 | 46.58 Mn |
| Sep 30, 2024 | 37.05 Mn |
| Jun 30, 2024 | -4.43 Mn |
| Mar 31, 2024 | 40.10 Mn |
| Dec 31, 2023 | 52.81 Mn |
| Sep 30, 2023 | 47.07 Mn |
| Jun 30, 2023 | 46.94 Mn |
| Mar 31, 2023 | 41.42 Mn |
| Dec 31, 2022 | 51.83 Mn |
| Sep 30, 2022 | 40.08 Mn |
| Jun 30, 2022 | 41.64 Mn |
| Mar 31, 2022 | 39.57 Mn |
| Dec 31, 2021 | 42.13 Mn |
| Sep 30, 2021 | 42.24 Mn |
API Access
Myr EBITDA 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=ebitda&ticker=MYRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MYRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();