Baidu (BIDU) Goodwill & Intangibles (2009 - 2026)
Baidu's Goodwill & Intangibles was $6.14 billion in the quarter ended Jun 30, 2026, up 7.5% from $5.71 billion a year earlier and up 2.9% from the prior quarter.
Baidu (BIDU) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Goodwill & Intangibles at Baidu came in at $5.82 billion, up 78.9% from the prior year.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 10.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Goodwill & Intangibles was $3.25 billion in the year ended Dec 31, 2024 (-1.6%), $3.31 billion in the year ended Dec 31, 2023 (-4.0%), $3.44 billion in the year ended Dec 31, 2022 (-8.6%) and $3.77 billion in the year ended Dec 31, 2021 (+7.0%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Goodwill & Intangibles in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Goodwill & Intangibles has increased for six straight quarters, with growth averaging 39.4% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was the quarter ended Jun 30, 2025 (growth of 77.3%); the worst was the quarter ended Dec 31, 2022 (a decline of 12.2%).
- Per Business Quant data, BIDU's Goodwill & Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $5.97 billion (quarter ended Mar 31, 2026), $5.73 billion (quarter ended Dec 31, 2025) and $5.71 billion (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.16 Bn |
| Mar 31, 2026 | 5.97 Bn |
| Dec 31, 2025 | 5.81 Bn |
| Sep 30, 2025 | 5.75 Bn |
| Jun 30, 2025 | 5.71 Bn |
| Mar 31, 2025 | 5.54 Bn |
| Dec 31, 2024 | 3.20 Bn |
| Sep 30, 2024 | 3.33 Bn |
| Jun 30, 2024 | 3.22 Bn |
| Mar 31, 2024 | 3.25 Bn |
| Dec 31, 2023 | 3.30 Bn |
| Sep 30, 2023 | 3.24 Bn |
| Jun 30, 2023 | 3.26 Bn |
| Mar 31, 2023 | 3.46 Bn |
| Dec 31, 2022 | 3.41 Bn |
| Sep 30, 2022 | 3.38 Bn |
| Jun 30, 2022 | 3.60 Bn |
| Mar 31, 2022 | 3.81 Bn |
| Dec 31, 2021 | 3.81 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();