Datadog (DDOG) Times Interest Earned (2020 - 2026)
Datadog's Times Interest Earned was 1.68 in Q2 2026, compared with -11.54 a year earlier and down 28.7% from the prior quarter.
Datadog (DDOG) Times Interest Earned (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Datadog's Times Interest Earned was 1.43 through Jun 30, 2026; for FY2025, it came in at -4.01.
- In earlier years, Times Interest Earned was 7.68 in FY2024, -5.31 in FY2023, -3.55 in FY2022 and -0.91 in FY2021.
- Quarterly Times Interest Earned has moved between -16.03 (Q1 2023) and 21.47 (Q4 2023) over five years.
- Per Business Quant data, DDOG's Times Interest Earned in the three quarters before Q2 2026 was 2.35 (Q1 2026), 3.60 (Q4 2025) and -2.40 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.01 Bn | 241.08 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 231.46 Bn | 211.86 Bn | 1.10 Bn | -5.50 |
| 3 | Fortinet | 123.83 Bn | 109.76 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 107.27 Bn | 94.59 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 88.05 Bn | 69.69 Bn | 881.34 Mn | 1.68 |
| 6 | Zscaler | 33.23 Bn | 19.35 Bn | - | - |
| 7 | Okta | 32.56 Bn | 22.66 Bn | 641.00 Mn | 5.63 |
| 8 | Axon Enterprise | 31.41 Bn | 25.93 Bn | 546.45 Mn | 1.66 |
| 9 | MongoDB | 27.26 Bn | 17.73 Bn | 569.77 Mn | 30.74 |
| 10 | F5 | 25.06 Bn | 19.47 Bn | 711.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 |
| Mar 31, 2026 | 2.35 |
| Dec 31, 2025 | 3.60 |
| Sep 30, 2025 | -2.40 |
| Jun 30, 2025 | -11.54 |
| Mar 31, 2025 | -4.19 |
| Dec 31, 2024 | 3.55 |
| Sep 30, 2024 | 12.88 |
| Jun 30, 2024 | 8.54 |
| Mar 31, 2024 | 8.73 |
| Dec 31, 2023 | 21.47 |
| Sep 30, 2023 | -3.25 |
| Jun 30, 2023 | -14.42 |
| Mar 31, 2023 | -16.03 |
| Dec 31, 2022 | -11.47 |
| Sep 30, 2022 | -8.41 |
| Jun 30, 2022 | -0.69 |
| Mar 31, 2022 | 1.98 |
| Dec 31, 2021 | 1.51 |
| Sep 30, 2021 | -1.00 |
Datadog 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=DDOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "DDOG", "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=DDOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();