Baidu (BIDU) Intangibles (2009 - 2026)
Baidu (BIDU) posted Intangibles of $736.0 million for Q2 2026, up 16.27% on a QoQ basis from $633.0 million in Q1 2026, and up 61.4% year-over-year from $456.0 million in Q2 2025.
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Analysis
Baidu (BIDU) Intangibles (2009 - 2026) Analysis & Trends
Baidu has reported Intangibles for 18 years, with the latest figure at $736.0 million in Q2 2026.
- On a quarterly basis, Intangibles rose 61.4% year-over-year to $736.0 million in Q2 2026; TTM through Jun 2026 was $736.0 million, a 61.4% increase from a year earlier, with the FY2025 full-year figure at $556.0 million, up 424.53% from the prior year.
- Intangibles was $736.0 million for Q2 2026 at Baidu, up from $633.0 million in the prior quarter.
- The five-year high for Intangibles was $736.0 million in Q2 2026, with the low at $107.0 million in Q3 2024.
- Average Intangibles over 5 years is $281.5 million, with a median of $190.2 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2025: Intangibles sank 34.67% in 2023, then soared 410.45% in 2025.
- Over 5 years, Intangibles stood at $176.3 million in 2022, then sank by 30.6% to $122.4 million in 2023, then fell by 12.17% to $107.5 million in 2024, then jumped by 410.45% to $548.6 million in 2025, then surged by 34.16% to $736.0 million in 2026.
- The last three Intangibles figures came in at $736.0 million (Q2 2026), $633.0 million (Q1 2026), and $548.6 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 281.58 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 214.36 Mn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 30.73 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 80.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 736.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 736.00 Mn |
| Mar 31, 2026 | 633.00 Mn |
| Dec 31, 2025 | 548.60 Mn |
| Sep 30, 2025 | 458.00 Mn |
| Jun 30, 2025 | 456.00 Mn |
| Mar 31, 2025 | 357.00 Mn |
| Dec 31, 2024 | 107.47 Mn |
| Sep 30, 2024 | 107.00 Mn |
| Jun 30, 2024 | 112.00 Mn |
| Mar 31, 2024 | 121.00 Mn |
| Dec 31, 2023 | 122.36 Mn |
| Sep 30, 2023 | 139.00 Mn |
| Jun 30, 2023 | 147.00 Mn |
| Mar 31, 2023 | 172.00 Mn |
| Dec 31, 2022 | 176.32 Mn |
| Sep 30, 2022 | 204.00 Mn |
| Jun 30, 2022 | 225.00 Mn |
| Mar 31, 2022 | 245.00 Mn |
| Dec 31, 2021 | 264.18 Mn |
| Sep 30, 2021 | 275.00 Mn |
API Access
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_KEYimport 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();