Intapp (INTA) Times Interest Earned (2020 - 2023)
Intapp's Times Interest Earned was -358.08 in fiscal Q1 2024 (quarter ended Sep 30, 2023), compared with -490.92 a year earlier.
Intapp (INTA) Times Interest Earned (2020 - 2023) Analysis & Trends
On a trailing twelve-month basis, Intapp's Times Interest Earned was -410.77 through Sep 30, 2023; for FY2023 (ended Jun 30, 2023), it was -443.98.
- In earlier fiscal years, Times Interest Earned was -362.98 in FY2022, -0.93 in FY2021 and -0.60 in FY2020.
- Quarterly Times Interest Earned has moved between -735.79 (fiscal Q3 2022) and -0.68 (fiscal Q1 2021) over five years.
- Per Business Quant data, INTA's Times Interest Earned in the three fiscal quarters before Q1 2024 was -319.03 (Q4 2023), -467.82 (Q3 2023) and -498.15 (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 4.71 |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 6.79 |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | Intapp | 2.77 Bn | 2.00 Bn | 118.37 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -358.08 |
| Jun 30, 2023 | -319.03 |
| Mar 31, 2023 | -467.82 |
| Dec 31, 2022 | -498.15 |
| Sep 30, 2022 | -490.92 |
| Jun 30, 2022 | -600.79 |
| Mar 31, 2022 | -735.79 |
| Dec 31, 2021 | -639.45 |
| Sep 30, 2021 | -148.62 |
| Jun 30, 2021 | -1.58 |
| Mar 31, 2021 | -0.71 |
| Dec 31, 2020 | -0.77 |
| Sep 30, 2020 | -0.68 |
Intapp 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=INTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "INTA", "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=INTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();