Baidu (BIDU) Total Liabilities (2009 - 2026)
Baidu (BIDU) posted Total Liabilities of $25.8 billion for Q2 2026, up 13.05% on a QoQ basis from $22.8 billion in Q1 2026, and up 20.92% year-over-year from $21.3 billion in Q2 2025.
Baidu (BIDU) Total Liabilities (2009 - 2026) Analysis & Trends
Baidu has reported Total Liabilities for 18 years, with the latest figure at $25.8 billion in Q2 2026.
- On a quarterly basis, Total Liabilities rose 20.92% year-over-year to $25.8 billion in Q2 2026; TTM through Jun 2026 was $25.8 billion, a 20.92% increase from a year earlier, with the FY2025 full-year figure at $22.8 billion, up 15.43% from the prior year.
- Total Liabilities was $25.8 billion for Q2 2026 at Baidu, up from $22.8 billion in the prior quarter.
- The five-year high for Total Liabilities was $25.8 billion in Q2 2026, with the low at $19.6 billion in Q2 2024.
- Average Total Liabilities over 5 years is $21.7 billion, with a median of $21.8 billion recorded in 2022.
- The sharpest annual moves came in 2022 and 2026: Total Liabilities dropped 11.78% in 2022, then increased 20.92% in 2026.
- Over 5 years, Total Liabilities stood at $21.5 billion in 2022, then dropped by 7.04% to $20.0 billion in 2023, then gained by 0.25% to $20.1 billion in 2024, then climbed by 12.0% to $22.5 billion in 2025, then rose by 14.63% to $25.8 billion in 2026.
- The last three Total Liabilities figures came in at $25.8 billion (Q2 2026), $22.8 billion (Q1 2026), and $22.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 5.27 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 797.71 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 2.17 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 25.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.77 Bn |
| Mar 31, 2026 | 22.79 Bn |
| Dec 31, 2025 | 22.48 Bn |
| Sep 30, 2025 | 21.98 Bn |
| Jun 30, 2025 | 21.31 Bn |
| Mar 31, 2025 | 22.59 Bn |
| Dec 31, 2024 | 20.07 Bn |
| Sep 30, 2024 | 19.68 Bn |
| Jun 30, 2024 | 19.62 Bn |
| Mar 31, 2024 | 20.35 Bn |
| Dec 31, 2023 | 20.02 Bn |
| Sep 30, 2023 | 20.60 Bn |
| Jun 30, 2023 | 21.08 Bn |
| Mar 31, 2023 | 22.34 Bn |
| Dec 31, 2022 | 21.54 Bn |
| Sep 30, 2022 | 22.25 Bn |
| Jun 30, 2022 | 23.05 Bn |
| Mar 31, 2022 | 23.73 Bn |
| Dec 31, 2021 | 24.41 Bn |
| Sep 30, 2021 | 24.80 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();