Baidu (BIDU) Times Interest Earned (2011 - 2026)
Baidu's (BIDU) Times Interest Earned stood at 4.97 in the quarter ended Jun 30, 2026, up 6.7% from 4.66 a year earlier but down 1.2% from the prior quarter.
Baidu (BIDU) Times Interest Earned (2011 - 2026) Analysis & Trends
On a TTM basis, Baidu's Times Interest Earned came in at -2.73 as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -2.09.
- Across earlier years, Times Interest Earned came in at 7.53 in the year ended Dec 31, 2024 (+11.8%), 6.74 in the year ended Dec 31, 2023 (+23.2%), 5.47 in the year ended Dec 31, 2022 (+77.8%) and 3.07 in the year ended Dec 31, 2021 (-33.5%).
- Quarterly Times Interest Earned has ranged from -23.92 in the quarter ended Sep 30, 2025 to 8.80 in the quarter ended Sep 30, 2024 over the past five years.
- On a year-over-year basis, Times Interest Earned rose in two of the last seven quarters, with an average decline of 17.5%.
- Peak year-over-year performance for Times Interest Earned in the last five years was growth of 180.0% in the quarter ended Sep 30, 2022, against a decline of 67.9% in the quarter ended Sep 30, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.03 (quarter ended Mar 31, 2026), 2.28 (quarter ended Dec 31, 2025) and -23.92 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.21 Bn | 247.28 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 248.49 Bn | 228.89 Bn | 1.10 Bn | -5.50 |
| 3 | Snowflake | 100.98 Bn | 88.30 Bn | 1.04 Bn | -126.37 |
| 4 | Fortinet | 94.51 Bn | 78.77 Bn | 1.64 Bn | 234.77 |
| 5 | Datadog | 67.23 Bn | 48.87 Bn | 881.34 Mn | 1.68 |
| 6 | Zscaler | 36.01 Bn | 22.16 Bn | 689.22 Mn | -5.64 |
| 7 | Axon Enterprise | 34.34 Bn | 28.86 Bn | 546.45 Mn | 1.66 |
| 8 | Okta | 32.80 Bn | 22.90 Bn | 641.00 Mn | 5.63 |
| 9 | MongoDB | 26.84 Bn | 17.31 Bn | 569.77 Mn | 30.74 |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn | 4.96 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.96 |
| Mar 31, 2026 | 5.03 |
| Dec 31, 2025 | 2.28 |
| Sep 30, 2025 | -23.82 |
| Jun 30, 2025 | 4.66 |
| Mar 31, 2025 | 5.65 |
| Dec 31, 2024 | 6.10 |
| Sep 30, 2024 | 8.79 |
| Jun 30, 2024 | 8.02 |
| Mar 31, 2024 | 7.17 |
| Dec 31, 2023 | 6.96 |
| Sep 30, 2023 | 7.35 |
| Jun 30, 2023 | 6.35 |
| Mar 31, 2023 | 6.20 |
| Dec 31, 2022 | 6.22 |
| Sep 30, 2022 | 7.32 |
| Jun 30, 2022 | 4.58 |
| Mar 31, 2022 | 3.66 |
| Dec 31, 2021 | 2.24 |
| Sep 30, 2021 | 2.61 |
Baidu 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=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "BIDU", "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=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();