Myr (MYRG) Selling, General & Administrative (2010 - 2026)
Myr's Selling, General & Administrative came in at $74.41 million for Q2 2026, up 17.5% from $63.31 million a year earlier and up 7.2% from the prior quarter.
Myr (MYRG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Myr reported Selling, General & Administrative of $274.35 million, up 14.3% year-over-year; for FY2025, it came in at $256.36 million, up 7.6% from FY2024.
- Selling, General & Administrative has increased in each of the last 15 years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative 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 represents the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year-over-year, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2026 (growth of 17.5%), and the weakest in Q4 2024 (a decline of 5.5%).
- Business Quant data shows MYRG's Selling, General & Administrative at $69.42 million (Q1 2026), $64.6 million (Q4 2025) and $65.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn | 206.47 Mn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn | 53.13 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 937.27 Mn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn | 34.37 Mn |
| 10 | Myr | 3.96 Bn | 3.43 Bn | 142.67 Mn | 74.41 Mn |
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 |
Myr Selling, General & Administrative 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=selling-general-and-administrative&ticker=MYRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MYRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();