Baidu (BIDU) Goodwill & Intangibles (2009 - 2026)
Baidu (BIDU) posted Goodwill & Intangibles of $6.1 billion for Q2 2026, up 2.86% on a QoQ basis from $6.0 billion in Q1 2026, and up 7.46% year-over-year from $5.7 billion in Q2 2025.
Baidu (BIDU) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
Baidu has reported Goodwill & Intangibles for 18 years, with the latest figure at $6.1 billion in Q2 2026.
- On a quarterly basis, Goodwill & Intangibles rose 7.46% year-over-year to $6.1 billion in Q2 2026; TTM through Jun 2026 was $6.1 billion, a 7.46% increase from a year earlier, with the FY2025 full-year figure at $5.7 billion, up 76.87% from the prior year.
- Goodwill & Intangibles was $6.1 billion for Q2 2026 at Baidu, up from $6.0 billion in the prior quarter.
- The five-year high for Goodwill & Intangibles was $6.1 billion in Q2 2026, with the low at $3.2 billion in Q2 2024.
- Average Goodwill & Intangibles over 5 years is $4.2 billion, with a median of $3.5 billion recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Goodwill & Intangibles dropped 12.19% in 2022, then soared 77.33% in 2025.
- Over 5 years, Goodwill & Intangibles stood at $3.3 billion in 2022, then declined by 2.32% to $3.3 billion in 2023, then decreased by 0.23% to $3.3 billion in 2024, then soared by 76.36% to $5.7 billion in 2025, then grew by 6.99% to $6.1 billion in 2026.
- The last three Goodwill & Intangibles figures came in at $6.1 billion (Q2 2026), $6.0 billion (Q1 2026), and $5.7 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.14 Bn |
| Mar 31, 2026 | 5.97 Bn |
| Dec 31, 2025 | 5.73 Bn |
| Sep 30, 2025 | 5.71 Bn |
| Jun 30, 2025 | 5.71 Bn |
| Mar 31, 2025 | 5.54 Bn |
| Dec 31, 2024 | 3.25 Bn |
| Sep 30, 2024 | 3.26 Bn |
| Jun 30, 2024 | 3.22 Bn |
| Mar 31, 2024 | 3.25 Bn |
| Dec 31, 2023 | 3.26 Bn |
| Sep 30, 2023 | 3.24 Bn |
| Jun 30, 2023 | 3.38 Bn |
| Mar 31, 2023 | 3.46 Bn |
| Dec 31, 2022 | 3.34 Bn |
| Sep 30, 2022 | 3.52 Bn |
| Jun 30, 2022 | 3.60 Bn |
| Mar 31, 2022 | 3.81 Bn |
| Dec 31, 2021 | 3.80 Bn |
| Sep 30, 2021 | 3.78 Bn |
Baidu Goodwill & 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=goodwill-and-intangibles&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();