Match (MTCH) Asset Writedowns and Impairment (2009 - 2020)
Match's Asset Writedowns and Impairment came in at $211.97 million for Q1 2020.
Analysis
Match (MTCH) Asset Writedowns and Impairment (2009 - 2020) Analysis & Trends
Over the trailing twelve months to Mar 31, 2020, Match reported Asset Writedowns and Impairment of $204.23 million; for FY2019, it was $3.32 million.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of -45.1% (FY2014 to FY2019).
- Going back by year, Asset Writedowns and Impairment was $275.37 million in FY2016 and $14.06 million in FY2015 (-78.9%).
- The Q1 2020 figure represents the highest quarterly Asset Writedowns and Impairment since Q2 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | Match | 10.42 Bn | 6.72 Bn | 648.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 211.97 Mn |
| Dec 31, 2017 | -7.75 Mn |
| Mar 31, 2017 | 3.37 Mn |
| Jun 30, 2016 | 275.37 Mn |
| Mar 31, 2016 | 2.30 Mn |
| Dec 31, 2015 | 14.06 Mn |
| Dec 31, 2014 | 2.32 Mn |
| Dec 31, 2009 | 912.08 Mn |
| Sep 30, 2009 | 901,000.00 |
API Access
Match 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=MTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "MTCH", "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=MTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();