Baidu (BIDU) Price to Earnings (2009 - 2026)
Baidu's (BIDU) Price to Earnings stood at 183.42 in the quarter ended Mar 31, 2026, compared with 8.85 a year earlier and up 218.0% from the prior quarter.
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Analysis
Baidu (BIDU) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Baidu's Price to Earnings came in at 57.00, up 558.4% from the prior year.
- Across earlier years, Price to Earnings came in at 8.66 in the year ended Dec 31, 2024 (-37.1%), 13.75 in the year ended Dec 31, 2023 (-53.5%), 29.61 in the year ended Dec 31, 2022 (+581.2%) and 4.35 in the year ended Dec 31, 2021 (-79.0%).
- The figure for the quarter ended Mar 31, 2026 is the highest quarterly Price to Earnings in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, Price to Earnings rose in three of the last seven quarters, with growth averaging 87.9%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 813.3% in the quarter ended Dec 31, 2022, against a decline of 81.2% in the quarter ended Dec 31, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 57.69 (quarter ended Dec 31, 2025), 37.11 (quarter ended Sep 30, 2025) and 7.67 (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Baidu | 2.81 Bn | -72.64 Bn | 1.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 191.47 |
| Dec 31, 2025 | 58.34 |
| Sep 30, 2025 | 37.37 |
| Jun 30, 2025 | 7.63 |
| Mar 31, 2025 | 8.79 |
| Dec 31, 2024 | 8.80 |
| Sep 30, 2024 | 12.46 |
| Jun 30, 2024 | 10.86 |
| Mar 31, 2024 | 13.40 |
| Dec 31, 2023 | 14.66 |
| Sep 30, 2023 | 14.68 |
| Jun 30, 2023 | 21.15 |
| Mar 31, 2023 | 25.27 |
| Dec 31, 2022 | 36.35 |
| Sep 30, 2022 | 6.20 |
| Dec 31, 2021 | 3.36 |
| Sep 30, 2021 | 25.29 |
| Jun 30, 2021 | 10.31 |
| Mar 31, 2021 | 10.10 |
| Dec 31, 2020 | 21.90 |
API Access
Baidu Price to Earnings 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=price-to-earnings&ticker=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();