Baidu (BIDU) Non-Current Assets (2009 - 2026)
Baidu's Non-Current Assets came in at $38.7 billion for the quarter ended Jun 30, 2026, down 5.5% from $40.95 billion a year earlier and down 9.3% from the prior quarter.
Baidu (BIDU) Non-Current Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Baidu's Non-Current Assets was $42.5 billion, up 19.8% from the prior year.
- Non-Current Assets carries a five-year compound annual growth rate of 13.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Non-Current Assets was $35.47 billion in the year ended Dec 31, 2024 (+42.7%), $24.86 billion in the year ended Dec 31, 2023 (-3.7%), $25.83 billion in the year ended Dec 31, 2022 (-1.3%) and $26.16 billion in the year ended Dec 31, 2021 (+14.3%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Non-Current Assets since the quarter ended Mar 31, 2025.
- Year-over-year, Non-Current Assets increased in seven of the last eight quarters, with growth averaging 24.5%.
- The fastest year-over-year change in Non-Current Assets over five years came in the quarter ended Dec 31, 2024 (growth of 47.0%), and the weakest in the quarter ended Jun 30, 2022 (a decline of 10.6%).
- Business Quant data shows BIDU's Non-Current Assets at $42.66 billion (quarter ended Mar 31, 2026), $41.9 billion (quarter ended Dec 31, 2025) and $40.14 billion (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) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.76 Bn | 245.84 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 247.26 Bn | 227.67 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Snowflake | 100.61 Bn | 87.93 Bn | 1.04 Bn | 5.20 Bn |
| 4 | Fortinet | 93.95 Bn | 79.88 Bn | 1.64 Bn | 4.65 Bn |
| 5 | Datadog | 68.23 Bn | 49.87 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Zscaler | 35.73 Bn | 21.85 Bn | - | 2.84 Bn |
| 7 | Axon Enterprise | 34.13 Bn | 28.65 Bn | 546.45 Mn | 4.48 Bn |
| 8 | Okta | 32.47 Bn | 22.57 Bn | 641.00 Mn | 6.05 Bn |
| 9 | MongoDB | 26.59 Bn | 17.06 Bn | 569.77 Mn | 651.70 Mn |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn | 38.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.70 Bn |
| Mar 31, 2026 | 42.66 Bn |
| Dec 31, 2025 | 42.48 Bn |
| Sep 30, 2025 | 40.14 Bn |
| Jun 30, 2025 | 40.95 Bn |
| Mar 31, 2025 | 38.33 Bn |
| Dec 31, 2024 | 35.48 Bn |
| Sep 30, 2024 | 34.94 Bn |
| Jun 30, 2024 | 31.41 Bn |
| Mar 31, 2024 | 27.32 Bn |
| Dec 31, 2023 | 24.84 Bn |
| Sep 30, 2023 | 24.76 Bn |
| Jun 30, 2023 | 24.49 Bn |
| Mar 31, 2023 | 25.01 Bn |
| Dec 31, 2022 | 25.58 Bn |
| Sep 30, 2022 | 25.32 Bn |
| Jun 30, 2022 | 26.22 Bn |
| Mar 31, 2022 | 25.89 Bn |
| Dec 31, 2021 | 26.16 Bn |
| Sep 30, 2021 | 26.22 Bn |
Baidu Non-Current Assets 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=non-current-assets&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();