Automatic Data Processing (ADP) Times Interest Earned (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Times Interest Earned came in at 15.08 in Q2 2026, up 0.55% year-over-year from 15.0 in Q2 2025, and up 13.08% quarter-over-quarter from 17.35 in Q1 2026.
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Automatic Data Processing (ADP) Times Interest Earned (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Times Interest Earned for 18 consecutive years, with 15.08 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Times Interest Earned rose 0.55% year-over-year to 15.08 in Q2 2026; TTM through Jun 2026 was 14.03, a 4.12% decrease from a year earlier, with the FY2026 full-year figure at 14.02, down 4.1% from the prior year.
- Times Interest Earned was 15.08 for Q2 2026 at Automatic Data Processing, up from 17.35 in the prior quarter.
- Over five years, Times Interest Earned peaked at 10.88 in Q3 2024 and troughed at 73.22 in Q1 2022.
- A 5-year average of 23.03 and a median of 16.12 in 2023 frame the typical range for Times Interest Earned.
- Across the five-year window, Times Interest Earned jumped 75.56% in 2023 and dropped 11.24% in 2025, its largest moves.
- Over 5 years, Times Interest Earned stood at 24.97 in 2022, then soared by 43.39% to 14.13 in 2023, then grew by 14.16% to 12.13 in 2024, then slipped by 7.09% to 12.99 in 2025, then dropped by 16.05% to 15.08 in 2026.
- The last three Times Interest Earned figures came in at 15.08 (Q2 2026), 17.35 (Q1 2026), and 12.99 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | - |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 4.71 |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 6.79 |
| 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
Download Data
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 |
API Access
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_KEYimport 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();