Automatic Data Processing (ADP) Asset Writedowns and Impairment (2009 - 2021)
Automatic Data Processing (ADP) reported Asset Writedowns and Impairment of $12.3 million for fiscal Q4 2021 (quarter ended Jun 30, 2021), down 58.9% from $29.9 million a year earlier but up 373.1% from the prior quarter.
Automatic Data Processing (ADP) Asset Writedowns and Impairment (2009 - 2021) Analysis & Trends
For FY2021 (ended Jun 30, 2021), Automatic Data Processing posted Asset Writedowns and Impairment of $19.9 million, down 33.4% from FY2020.
- By fiscal year, Asset Writedowns and Impairment came in at $29.9 million in FY2020 (+147.1%) and $12.1 million in FY2019.
- Five-year quarterly Asset Writedowns and Impairment spans a low of $2.2 million in fiscal Q2 2021 and a high of $29.9 million in fiscal Q4 2020.
- Per Business Quant data, the three fiscal quarters before Q4 2021 came in at $2.6 million (Q3 2021), $2.2 million (Q2 2021) and $2.8 million (Q1 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 12.30 Mn |
| Mar 31, 2021 | 2.60 Mn |
| Dec 31, 2020 | 2.20 Mn |
| Sep 30, 2020 | 2.80 Mn |
| Jun 30, 2020 | 29.90 Mn |
| Sep 30, 2018 | 12.10 Mn |
| Jun 30, 2013 | 42.70 Mn |
| Mar 31, 2012 | 2.20 Mn |
| Dec 31, 2011 | 5.80 Mn |
| Jun 30, 2011 | 3.10 Mn |
| Sep 30, 2010 | 8.60 Mn |
| Jun 30, 2010 | 9.10 Mn |
| Sep 30, 2009 | 5.30 Mn |
Automatic Data Processing 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=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ADP", "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=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();