Agilent Technologies (A) Times Interest Earned (2010 - 2026)
Agilent Technologies' Times Interest Earned was 15.31 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 19.1% from 12.86 a year earlier but down 4.1% from the prior quarter.
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Analysis
Agilent Technologies (A) Times Interest Earned (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilent Technologies' Times Interest Earned was 15.46 through Jul 31, 2026, up 25.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 13.21, down 14.8% from FY2024.
- In earlier fiscal years, Times Interest Earned was 15.50 in FY2024 (+9.1%), 14.21 in FY2023 (-26.2%), 19.26 in FY2022 (+15.8%) and 16.63 in FY2021 (+53.3%).
- Quarterly Times Interest Earned has moved between 5.54 (fiscal Q3 2023) and 21.63 (fiscal Q3 2022) over five years.
- Compared with a year earlier, Times Interest Earned has increased for four straight quarters, with an average decline of 0.6% over the last eight quarters.
- The best year-over-year quarter for Times Interest Earned over five years was fiscal Q3 2024 (growth of 173.1%); the worst was fiscal Q3 2023 (a decline of 74.4%).
- Per Business Quant data, A's Times Interest Earned in the three fiscal quarters before Q3 2026 was 15.96 (Q2 2026), 14.12 (Q1 2026) and 16.41 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 12.27 |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 5.02 |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 15.31 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.31 |
| Apr 30, 2026 | 15.96 |
| Jan 31, 2026 | 14.12 |
| Oct 31, 2025 | 16.41 |
| Jul 31, 2025 | 12.86 |
| Apr 30, 2025 | 10.34 |
| Jan 31, 2025 | 13.43 |
| Oct 31, 2024 | 12.75 |
| Jul 31, 2024 | 15.14 |
| Apr 30, 2024 | 18.15 |
| Jan 31, 2024 | 17.45 |
| Oct 31, 2023 | 18.55 |
| Jul 31, 2023 | 5.54 |
| Apr 30, 2023 | 15.96 |
| Jan 31, 2023 | 17.04 |
| Oct 31, 2022 | 20.48 |
| Jul 31, 2022 | 21.63 |
| Apr 30, 2022 | 17.14 |
| Jan 31, 2022 | 17.90 |
| Oct 31, 2021 | 18.81 |
API Access
Agilent Technologies 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=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "A", "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=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();