Matrix Service (MTRX) Cash & Equivalents (2010 - 2026)
Matrix Service's Cash & Equivalents came in at $222.97 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.7% from $224.64 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Matrix Service (MTRX) Cash & Equivalents (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Matrix Service's Cash & Equivalents data covers 64 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of 21.6% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $224.64 million in FY2025 (+94.3%), $115.62 million in FY2024 (+110.9%), $54.81 million in FY2023 (+4.7%) and $52.37 million in FY2022 (-37.6%).
- The five-year range for quarterly Cash & Equivalents is $14.34 million (fiscal Q1 2023) to $233.02 million (fiscal Q3 2026).
- Year-over-year, Cash & Equivalents increased in seven of the last eight quarters, with growth averaging 119.3%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2025 (growth of 355.5%), and the weakest in fiscal Q1 2023 (a decline of 58.6%).
- Business Quant data shows MTRX's Cash & Equivalents at $233.02 million (Q3 2026), $198.96 million (Q2 2026) and $192.31 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.05 Bn | 1.55 Bn | 506.43 Mn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | 5.02 Bn |
| 3 | Emcor | 29.32 Bn | 25.72 Bn | 1.02 Bn | 924.41 Mn |
| 4 | Jacobs Solutions | 17.23 Bn | 11.89 Bn | 810.70 Mn | 1.17 Bn |
| 5 | Mastec | 13.41 Bn | 12.19 Bn | 556.28 Mn | 315.64 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.77 Bn | 289.96 Mn | 464.45 Mn |
| 7 | IES Holdings | 8.76 Bn | 7.62 Bn | 340.66 Mn | 77.28 Mn |
| 8 | Stantec | 8.31 Bn | 7.23 Bn | 1.36 Bn | 265.54 Mn |
| 9 | Aecom | 7.82 Bn | 2.94 Bn | -34.04 Mn | 1.01 Bn |
| 10 | Matrix Service | 272.48 Mn | -574.78 Mn | 19.48 Mn | 222.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.97 Mn |
| Mar 31, 2026 | 233.02 Mn |
| Dec 31, 2025 | 198.96 Mn |
| Sep 30, 2025 | 192.31 Mn |
| Jun 30, 2025 | 224.64 Mn |
| Mar 31, 2025 | 185.54 Mn |
| Dec 31, 2024 | 156.78 Mn |
| Sep 30, 2024 | 124.61 Mn |
| Jun 30, 2024 | 115.62 Mn |
| Mar 31, 2024 | 69.66 Mn |
| Dec 31, 2023 | 47.16 Mn |
| Sep 30, 2023 | 27.36 Mn |
| Jun 30, 2023 | 54.81 Mn |
| Mar 31, 2023 | 48.20 Mn |
| Dec 31, 2022 | 31.46 Mn |
| Sep 30, 2022 | 14.34 Mn |
| Jun 30, 2022 | 52.37 Mn |
| Mar 31, 2022 | 34.09 Mn |
| Dec 31, 2021 | 65.04 Mn |
| Sep 30, 2021 | 34.68 Mn |
API Access
Matrix Service Cash & Equivalents 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=cash-and-equivalents&ticker=MTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();