Matrix Service (MTRX) Asset Writedowns and Impairment (2019 - 2022)
Matrix Service (MTRX) reported Asset Writedowns and Impairment of $12.32 million for FY2023 (year ended Jun 30, 2023), down 32.7% from $18.31 million in FY2022.
Matrix Service (MTRX) Asset Writedowns and Impairment (2019 - 2022) Analysis & Trends
Dating back to FY2013, Matrix Service's Asset Writedowns and Impairment record includes 6 fiscal years.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of -7.3% (FY2018 to FY2023).
- Five-year annual Asset Writedowns and Impairment spans a low of $454,000 in FY2021 and a high of $38.52 million in FY2020.
- According to Business Quant data, Asset Writedowns and Impairment came in at $18.31 million in FY2022, $454,000 in FY2021 (-98.8%) and $38.52 million in FY2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.50 Bn | 80.57 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.68 Bn | 13.93 Bn | - |
| 3 | Emcor | 28.90 Bn | 25.29 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.21 Bn | 11.88 Bn | 810.70 Mn |
| 5 | Mastec | 13.34 Bn | 12.13 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.00 Bn | 9.33 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.57 Bn | 7.43 Bn | 340.66 Mn |
| 8 | Stantec | 8.12 Bn | 7.05 Bn | 1.36 Bn |
| 9 | Aecom | 7.80 Bn | 2.92 Bn | -34.04 Mn |
| 10 | Matrix Service | 274.74 Mn | -572.51 Mn | 19.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 12.30 Mn |
| Jun 30, 2022 | 12,000.00 |
| Mar 31, 2022 | 18.30 Mn |
| Jun 30, 2021 | 454,000.00 |
| Sep 30, 2020 | 150,000.00 |
| Dec 31, 2019 | 38.52 Mn |
Matrix Service Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();