Baidu (BIDU) Intangibles (2009 - 2026)
Baidu's Intangibles came in at $736 million for the quarter ended Jun 30, 2026, up 61.4% from $456 million a year earlier and up 16.3% from the prior quarter.
Baidu (BIDU) Intangibles (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Baidu's Intangibles was $556 million, up 424.5% from the prior year.
- Intangibles carries a five-year compound annual growth rate of 12.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Intangibles was $106 million in the year ended Dec 31, 2024 (-14.5%), $124 million in the year ended Dec 31, 2023 (-31.9%), $182 million in the year ended Dec 31, 2022 (-31.3%) and $265 million in the year ended Dec 31, 2021 (-14.5%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Intangibles since the quarter ended Sep 30, 2019.
- Year-over-year, Intangibles has increased for six consecutive quarters, with growth averaging 168.0% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in the quarter ended Dec 31, 2025 (growth of 410.4%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 34.7%).
- Business Quant data shows BIDU's Intangibles at $633 million (quarter ended Mar 31, 2026), $548.6 million (quarter ended Dec 31, 2025) and $458 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.21 Bn | 247.28 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 248.49 Bn | 228.89 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Snowflake | 100.98 Bn | 88.30 Bn | 1.04 Bn | 426.53 Mn |
| 4 | Fortinet | 94.51 Bn | 78.77 Bn | 1.64 Bn | 74.40 Mn |
| 5 | Datadog | 67.23 Bn | 48.87 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Zscaler | 36.01 Bn | 22.16 Bn | 689.22 Mn | 214.36 Mn |
| 7 | Axon Enterprise | 34.34 Bn | 28.86 Bn | 546.45 Mn | 281.58 Mn |
| 8 | Okta | 32.80 Bn | 22.90 Bn | 641.00 Mn | 80.00 Mn |
| 9 | MongoDB | 26.84 Bn | 17.31 Bn | 569.77 Mn | 30.73 Mn |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn | 736.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 736.00 Mn |
| Mar 31, 2026 | 633.00 Mn |
| Dec 31, 2025 | 556.17 Mn |
| Sep 30, 2025 | 458.00 Mn |
| Jun 30, 2025 | 456.00 Mn |
| Mar 31, 2025 | 357.00 Mn |
| Dec 31, 2024 | 105.78 Mn |
| Sep 30, 2024 | 107.00 Mn |
| Jun 30, 2024 | 112.00 Mn |
| Mar 31, 2024 | 121.00 Mn |
| Dec 31, 2023 | 123.96 Mn |
| Sep 30, 2023 | 139.00 Mn |
| Jun 30, 2023 | 147.00 Mn |
| Mar 31, 2023 | 172.00 Mn |
| Dec 31, 2022 | 180.09 Mn |
| Sep 30, 2022 | 204.00 Mn |
| Jun 30, 2022 | 225.00 Mn |
| Mar 31, 2022 | 245.00 Mn |
| Dec 31, 2021 | 265.06 Mn |
| Sep 30, 2021 | 275.00 Mn |
Baidu Intangibles 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=intangibles&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();