Automatic Data Processing (ADP) Short term Debt (2010 - 2020)
Automatic Data Processing's (ADP) quarterly Short term Debt came in at $1.0 billion in Q2 2020, little changed quarter-over-quarter from $1.0 billion in Q1 2020.
Automatic Data Processing (ADP) Short term Debt (2010 - 2020) Analysis & Trends
Automatic Data Processing (ADP) has reported Short term Debt for 4 consecutive years, with $1.0 billion the latest figure, recorded in Q2 2020.
- On a quarterly basis, Short term Debt changed N/A year-over-year to $1.0 billion in Q2 2020; TTM through Jun 2020 was $1.0 billion, a N/A change from a year earlier, with the FY2020 full-year figure at $1.0 billion, changed N/A from the prior year.
- Short term Debt was $1.0 billion for Q2 2020 at Automatic Data Processing, roughly flat from $1.0 billion in the prior quarter.
- Over five years, Short term Debt peaked at $1.0 billion in Q1 2020 and troughed at $1.0 billion in Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 1.00 Bn |
| Mar 31, 2020 | 1.00 Bn |
| Dec 31, 2019 | 1.00 Bn |
| Sep 30, 2019 | 1.00 Bn |
| Sep 30, 2011 | -10.50 Mn |
| Jun 30, 2011 | -2.80 Mn |
| Mar 31, 2011 | 2.80 Mn |
| Dec 31, 2010 | 2.80 Mn |
| Sep 30, 2010 | -2.80 Mn |
| Jun 30, 2010 | -2.80 Mn |
Automatic Data Processing Short term Debt 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=short-term-debt&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();