Infosys (INFY) Asset Writedowns and Impairment (2010 - 2018)
Infosys (INFY) posted Asset Writedowns and Impairment of -$5.0 million for Q1 2018, down 225.0% on a QoQ basis from $4.0 million in Q4 2017, and down 155.56% year-over-year from $9.0 million in Q1 2017.
Infosys (INFY) Asset Writedowns and Impairment (2010 - 2018) Analysis & Trends
Infosys has reported Asset Writedowns and Impairment for 8 years, with the latest figure at -$5.0 million in Q1 2018.
- On a quarterly basis, Asset Writedowns and Impairment fell 155.56% year-over-year to -$5.0 million in Q1 2018; TTM through Mar 2018 was $13.0 million, a 35.0% decrease from a year earlier, with the FY2018 full-year figure at $5.0 million, down 75.0% from the prior year.
- Asset Writedowns and Impairment was -$5.0 million for Q1 2018 at Infosys, down from $4.0 million in the prior quarter.
- The five-year high for Asset Writedowns and Impairment was $9.0 million in Q1 2017, with the low at -$5.0 million in Q1 2018.
- Average Asset Writedowns and Impairment over 4 years is $1.9 million, with a median of $2.0 million recorded in 2015.
- The sharpest annual moves came in 2016 and 2018: Asset Writedowns and Impairment surged 300.0% in 2016, then sank 155.56% in 2018.
- Over 4 years, Asset Writedowns and Impairment stood at -$3.0 million in 2015, then jumped by 266.67% to $5.0 million in 2016, then declined by 20.0% to $4.0 million in 2017, then sank by 225.0% to -$5.0 million in 2018.
- The last three Asset Writedowns and Impairment figures came in at -$5.0 million (Q1 2018), $4.0 million (Q4 2017), and $9.0 million (Q1 2017), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | -5.00 Mn |
| Dec 31, 2017 | 4.00 Mn |
| Mar 31, 2017 | 9.00 Mn |
| Dec 31, 2016 | 5.00 Mn |
| Sep 30, 2016 | 4.00 Mn |
| Jun 30, 2016 | 2.00 Mn |
| Dec 31, 2015 | -3.00 Mn |
| Sep 30, 2015 | 2.00 Mn |
| Jun 30, 2015 | -1.00 Mn |
| Dec 31, 2013 | 3.00 Mn |
| Sep 30, 2013 | 6.00 Mn |
| Jun 30, 2013 | 7.00 Mn |
| Mar 31, 2013 | 2.00 Mn |
| Dec 31, 2012 | -2.00 Mn |
| Sep 30, 2012 | 2.00 Mn |
| Jun 30, 2012 | 5.00 Mn |
| Dec 31, 2011 | 5.00 Mn |
| Sep 30, 2011 | 3.00 Mn |
| Jun 30, 2011 | 6.00 Mn |
| Sep 30, 2010 | 3.00 Mn |
Infosys 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=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "INFY", "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=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();