Matrix Service (MTRX) Selling, General & Administrative (2010 - 2026)
Matrix Service's Selling, General & Administrative was $16.95 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.6% from $17.58 million a year earlier but up 11.4% from the prior quarter.
Matrix Service (MTRX) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Selling, General & Administrative at Matrix Service came in at $63.61 million, down 10.6% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of -1.8% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $71.17 million in FY2025 (+1.6%), $70.09 million in FY2024 (+2.7%), $68.25 million in FY2023 (+0.8%) and $67.69 million in FY2022 (-3.0%).
- Quarterly Selling, General & Administrative has moved between $15.11 million (fiscal Q2 2026) and $19.95 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Selling, General & Administrative has declined for four straight quarters, with an average decline of 4.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2024 (growth of 18.3%); the worst was fiscal Q3 2026 (a decline of 14.2%).
- Per Business Quant data, MTRX's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $15.22 million (Q3 2026), $15.11 million (Q2 2026) and $16.33 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn | 206.47 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn | 53.13 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn | 937.27 Mn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn | 34.37 Mn |
| 10 | Matrix Service | 266.17 Mn | -581.09 Mn | 19.48 Mn | 16.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.95 Mn |
| Mar 31, 2026 | 15.22 Mn |
| Dec 31, 2025 | 15.11 Mn |
| Sep 30, 2025 | 16.33 Mn |
| Jun 30, 2025 | 17.58 Mn |
| Mar 31, 2025 | 17.73 Mn |
| Dec 31, 2024 | 17.29 Mn |
| Sep 30, 2024 | 18.58 Mn |
| Jun 30, 2024 | 17.29 Mn |
| Mar 31, 2024 | 19.95 Mn |
| Dec 31, 2023 | 15.73 Mn |
| Sep 30, 2023 | 17.11 Mn |
| Jun 30, 2023 | 17.03 Mn |
| Mar 31, 2023 | 16.86 Mn |
| Dec 31, 2022 | 17.55 Mn |
| Sep 30, 2022 | 16.81 Mn |
| Jun 30, 2022 | 18.10 Mn |
| Mar 31, 2022 | 17.04 Mn |
| Dec 31, 2021 | 15.92 Mn |
| Sep 30, 2021 | 16.63 Mn |
Matrix Service 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=MTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MTRX", "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=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();