Baidu (BIDU) Total Liabilities (2009 - 2026)
Baidu's Total Liabilities came in at $27.69 billion for the quarter ended Jun 30, 2026, up 20.0% from $23.08 billion a year earlier and up 11.9% from the prior quarter.
Baidu (BIDU) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Baidu's Total Liabilities was $24.68 billion, up 15.1% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 3.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $21.44 billion in the year ended Dec 31, 2024 (-0.9%), $21.64 billion in the year ended Dec 31, 2023 (-7.6%), $23.43 billion in the year ended Dec 31, 2022 (-7.4%) and $25.31 billion in the year ended Dec 31, 2021 (+21.2%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Liabilities in data going back to the quarter ended Mar 31, 2009.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Sep 30, 2021 (growth of 33.0%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 11.0%).
- Business Quant data shows BIDU's Total Liabilities at $24.74 billion (quarter ended Mar 31, 2026), $24.33 billion (quarter ended Dec 31, 2025) and $23.67 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) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.76 Bn | 245.84 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 247.26 Bn | 227.67 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Snowflake | 100.61 Bn | 87.93 Bn | 1.04 Bn | 6.54 Bn |
| 4 | Fortinet | 93.95 Bn | 79.88 Bn | 1.64 Bn | 9.31 Bn |
| 5 | Datadog | 68.23 Bn | 49.87 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 35.73 Bn | 21.85 Bn | - | 5.27 Bn |
| 7 | Axon Enterprise | 34.13 Bn | 28.65 Bn | 546.45 Mn | 3.81 Bn |
| 8 | Okta | 32.47 Bn | 22.57 Bn | 641.00 Mn | 2.17 Bn |
| 9 | MongoDB | 26.59 Bn | 17.06 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn | 27.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.78 Bn |
| Mar 31, 2026 | 24.74 Bn |
| Dec 31, 2025 | 24.67 Bn |
| Sep 30, 2025 | 23.79 Bn |
| Jun 30, 2025 | 23.08 Bn |
| Mar 31, 2025 | 23.97 Bn |
| Dec 31, 2024 | 21.11 Bn |
| Sep 30, 2024 | 21.01 Bn |
| Jun 30, 2024 | 21.01 Bn |
| Mar 31, 2024 | 21.72 Bn |
| Dec 31, 2023 | 21.61 Bn |
| Sep 30, 2023 | 21.88 Bn |
| Jun 30, 2023 | 22.33 Bn |
| Mar 31, 2023 | 23.61 Bn |
| Dec 31, 2022 | 23.20 Bn |
| Sep 30, 2022 | 23.38 Bn |
| Jun 30, 2022 | 24.20 Bn |
| Mar 31, 2022 | 24.81 Bn |
| Dec 31, 2021 | 25.62 Bn |
| Sep 30, 2021 | 26.03 Bn |
Baidu Total Liabilities 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=total-liabilities&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();