Baidu (BIDU) Cash & Equivalents (2009 - 2026)
Baidu (BIDU) reported Cash & Equivalents of $3.61 billion for the quarter ended Jun 30, 2026, down 13.5% from $4.18 billion a year earlier and down 16.8% from the prior quarter.
Baidu (BIDU) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Baidu posted Cash & Equivalents of $3.52 billion, up 3.4% from the prior year.
- Cash & Equivalents has a five-year compound annual growth rate of -8.5% (years ended Dec 2020 to Dec 2025).
- By year, Cash & Equivalents came in at $3.4 billion in the year ended Dec 31, 2024 (-4.3%), $3.55 billion in the year ended Dec 31, 2023 (-53.9%), $7.71 billion in the year ended Dec 31, 2022 (+33.3%) and $5.78 billion in the year ended Dec 31, 2021 (+5.5%).
- Five-year quarterly Cash & Equivalents spans a low of $3.44 billion in the quarter ended Mar 31, 2023 and a high of $7.76 billion in the quarter ended Sep 30, 2022.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with an average decline of 0.1%.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Sep 30, 2021 (growth of 132.8%); the low point was the quarter ended Dec 31, 2023 (a decline of 53.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $4.34 billion (quarter ended Mar 31, 2026), $3.47 billion (quarter ended Dec 31, 2025) and $5.43 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 1.71 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 3.75 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 881.23 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 928.35 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 763.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 597.70 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Baidu | 2.81 Bn | -72.64 Bn | 1.76 Mn | 3.61 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.61 Bn |
| Mar 31, 2026 | 4.34 Bn |
| Dec 31, 2025 | 3.52 Bn |
| Sep 30, 2025 | 5.43 Bn |
| Jun 30, 2025 | 4.18 Bn |
| Mar 31, 2025 | 6.78 Bn |
| Dec 31, 2024 | 3.40 Bn |
| Sep 30, 2024 | 4.09 Bn |
| Jun 30, 2024 | 5.99 Bn |
| Mar 31, 2024 | 4.21 Bn |
| Dec 31, 2023 | 3.55 Bn |
| Sep 30, 2023 | 4.79 Bn |
| Jun 30, 2023 | 5.80 Bn |
| Mar 31, 2023 | 3.44 Bn |
| Dec 31, 2022 | 7.63 Bn |
| Sep 30, 2022 | 7.76 Bn |
| Jun 30, 2022 | 6.35 Bn |
| Mar 31, 2022 | 5.81 Bn |
| Dec 31, 2021 | 5.78 Bn |
| Sep 30, 2021 | 6.32 Bn |
Baidu Cash & Equivalents 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=cash-and-equivalents&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();