Automatic Data Processing (ADP) Times Interest Earned (2009 - 2026)
Automatic Data Processing's (ADP) Times Interest Earned was -15.08 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -15.16 a year earlier.
Automatic Data Processing (ADP) Times Interest Earned (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Times Interest Earned at Automatic Data Processing was -14.02.
- By fiscal year, Times Interest Earned came in at -13.47 in FY2025, -16.30 in FY2024, -22.50 in FY2023 and -70.09 in FY2022.
- Five-year quarterly Times Interest Earned spans a low of -79.22 in fiscal Q2 2022 and a high of -10.88 in fiscal Q1 2025.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -17.35 (Q3 2026), -12.99 (Q2 2026) and -12.10 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | - |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 4.71 |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 6.79 |
| 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 | - | 69.75 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.08 |
| Mar 31, 2026 | -17.35 |
| Dec 31, 2025 | -12.99 |
| Sep 30, 2025 | -12.10 |
| Jun 30, 2025 | -15.16 |
| Mar 31, 2025 | -17.99 |
| Dec 31, 2024 | -12.13 |
| Sep 30, 2024 | -10.88 |
| Jun 30, 2024 | -15.97 |
| Mar 31, 2024 | -20.51 |
| Dec 31, 2023 | -14.13 |
| Sep 30, 2023 | -16.27 |
| Jun 30, 2023 | -14.56 |
| Mar 31, 2023 | -33.84 |
| Dec 31, 2022 | -24.97 |
| Sep 30, 2022 | -27.79 |
| Jun 30, 2022 | -59.58 |
| Mar 31, 2022 | -73.22 |
| Dec 31, 2021 | -79.22 |
| Sep 30, 2021 | -73.01 |
Automatic Data Processing Times Interest Earned 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=times-interest-earned&ticker=ADP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();