Myr (MYRG) Operating Expenses (2010 - 2026)
Myr (MYRG) posted Operating Expenses of $74.41 million for Q2 2026, up 17.5% from $63.31 million a year earlier and up 7.2% from the prior quarter.
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Analysis
Myr (MYRG) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Myr was $274.35 million, up 14.3% year-over-year; for FY2025, it was $256.36 million, up 7.6% from FY2024.
- Annual Operating Expenses has increased for 15 consecutive years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Myr's Operating Expenses was $238.22 million in FY2024 (+1.5%), $234.61 million in FY2023 (+5.5%), $222.42 million in FY2022 (+7.3%) and $207.21 million in FY2021 (+9.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 17.5%; the weakest was Q4 2024, with a decline of 5.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $69.42 million (Q1 2026), $64.6 million (Q4 2025) and $65.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Myr | 4.44 Bn | 3.91 Bn | 142.67 Mn | 74.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.41 Mn |
| Mar 31, 2026 | 69.42 Mn |
| Dec 31, 2025 | 64.60 Mn |
| Sep 30, 2025 | 65.92 Mn |
| Jun 30, 2025 | 63.31 Mn |
| Mar 31, 2025 | 62.52 Mn |
| Dec 31, 2024 | 56.69 Mn |
| Sep 30, 2024 | 57.46 Mn |
| Jun 30, 2024 | 61.84 Mn |
| Mar 31, 2024 | 62.23 Mn |
| Dec 31, 2023 | 59.99 Mn |
| Sep 30, 2023 | 59.88 Mn |
| Jun 30, 2023 | 57.78 Mn |
| Mar 31, 2023 | 56.96 Mn |
| Dec 31, 2022 | 57.95 Mn |
| Sep 30, 2022 | 58.89 Mn |
| Jun 30, 2022 | 52.02 Mn |
| Mar 31, 2022 | 53.56 Mn |
| Dec 31, 2021 | 52.60 Mn |
| Sep 30, 2021 | 53.07 Mn |
API Access
Myr Operating Expenses 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=operating-expenses&ticker=MYRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MYRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();