Matrix Service (MTRX) Price to Earnings (2011 - 2019)
Matrix Service's Price to Earnings was 14.61 in fiscal Q1 2020 (quarter ended Sep 30, 2019), down 24.7% from the prior quarter.
Analysis
Matrix Service (MTRX) Price to Earnings (2011 - 2019) Analysis & Trends
For FY2019 (ended Jun 30, 2019), Price to Earnings at Matrix Service came in at 19.41.
- In earlier fiscal years, Price to Earnings was 15.02 in FY2016 (-46.5%) and 28.11 in FY2015 (+16.4%).
- The fiscal Q1 2020 figure marks the lowest quarterly Price to Earnings since fiscal Q2 2012.
- The best year-over-year quarter for Price to Earnings over five years was fiscal Q3 2019 (growth of 559.7%); the worst was fiscal Q3 2016 (a decline of 54.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn |
| 10 | Matrix Service | 266.17 Mn | -581.09 Mn | 19.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 14.61 |
| Jun 30, 2019 | 19.41 |
| Mar 31, 2019 | 1,077.64 |
| Mar 31, 2018 | 163.36 |
| Mar 31, 2017 | 44.30 |
| Dec 31, 2016 | 21.50 |
| Sep 30, 2016 | 17.61 |
| Jun 30, 2016 | 15.02 |
| Mar 31, 2016 | 15.37 |
| Dec 31, 2015 | 23.70 |
| Sep 30, 2015 | 28.15 |
| Jun 30, 2015 | 28.11 |
| Mar 31, 2015 | 34.01 |
| Dec 31, 2014 | 21.18 |
| Sep 30, 2014 | 18.20 |
| Jun 30, 2014 | 24.15 |
| Mar 31, 2014 | 25.05 |
| Dec 31, 2013 | 20.93 |
| Sep 30, 2013 | 19.86 |
| Jun 30, 2013 | 16.95 |
API Access
Matrix Service Price to Earnings 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=price-to-earnings&ticker=MTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();