Matrix Service (MTRX) Operating Expenses (2010 - 2026)
Matrix Service (MTRX) recorded Operating Expenses of $20.37 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.1% from $21.03 million a year earlier but up 11.9% from the prior quarter.
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Analysis
Matrix Service (MTRX) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Matrix Service reported Operating Expenses of $73.57 million, down 1.6% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -0.8% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $74.75 million in FY2025 (+5.9%), $70.59 million in FY2024 (-1.1%), $71.39 million in FY2023 (+4.5%) and $68.34 million in FY2022 (-10.7%).
- Quarterly Operating Expenses has ranged from $15.31 million in fiscal Q2 2026 to $21.03 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 2.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 18.2% in fiscal Q4 2025, against a decline of 23.7% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.2 million (Q3 2026), $15.31 million (Q2 2026) and $19.68 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.21 Bn | 87.29 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.36 Bn | 13.61 Bn | - | - |
| 3 | Emcor | 30.96 Bn | 27.35 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.28 Bn | 10.94 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.59 Bn | 13.37 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.61 Bn | 10.93 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.65 Bn | 8.51 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.85 Bn | 6.78 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.54 Bn | 2.66 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Matrix Service | 285.36 Mn | -561.90 Mn | 19.48 Mn | 20.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.37 Mn |
| Mar 31, 2026 | 18.20 Mn |
| Dec 31, 2025 | 15.31 Mn |
| Sep 30, 2025 | 19.68 Mn |
| Jun 30, 2025 | 21.03 Mn |
| Mar 31, 2025 | 17.85 Mn |
| Dec 31, 2024 | 17.29 Mn |
| Sep 30, 2024 | 18.58 Mn |
| Jun 30, 2024 | 17.79 Mn |
| Mar 31, 2024 | 19.95 Mn |
| Dec 31, 2023 | 15.73 Mn |
| Sep 30, 2023 | 17.11 Mn |
| Jun 30, 2023 | 17.29 Mn |
| Mar 31, 2023 | 17.18 Mn |
| Dec 31, 2022 | 18.82 Mn |
| Sep 30, 2022 | 18.10 Mn |
| Jun 30, 2022 | 19.02 Mn |
| Mar 31, 2022 | 15.46 Mn |
| Dec 31, 2021 | 16.62 Mn |
| Sep 30, 2021 | 17.23 Mn |
API Access
Matrix Service 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=MTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();