Baidu (BIDU) Receivables (2009 - 2026)
Baidu (BIDU) posted Receivables of $2.1 billion for Q2 2026, down 3.67% on a QoQ basis from $2.2 billion in Q1 2026, and up 21.29% year-over-year from $1.7 billion in Q2 2025.
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Analysis
Baidu (BIDU) Receivables (2009 - 2026) Analysis & Trends
Baidu has reported Receivables for 18 years, with the latest figure at $2.1 billion in Q2 2026.
- On a quarterly basis, Receivables rose 21.29% year-over-year to $2.1 billion in Q2 2026; TTM through Jun 2026 was $2.1 billion, a 21.29% increase from a year earlier, with the FY2025 full-year figure at $2.6 billion, up 32.06% from the prior year.
- Receivables was $2.1 billion for Q2 2026 at Baidu, down from $2.2 billion in the prior quarter.
- The five-year high for Receivables was $2.8 billion in Q4 2022, with the low at $1.6 billion in Q3 2024.
- Average Receivables over 5 years is $2.0 billion, with a median of $2.1 billion recorded in 2022.
- The sharpest annual moves came in 2024 and 2026: Receivables decreased 28.1% in 2024, then jumped 33.03% in 2026.
- Over 5 years, Receivables stood at $2.8 billion in 2022, then slipped by 22.62% to $2.1 billion in 2023, then declined by 6.49% to $2.0 billion in 2024, then decreased by 3.49% to $1.9 billion in 2025, then grew by 7.81% to $2.1 billion in 2026.
- The last three Receivables figures came in at $2.1 billion (Q2 2026), $2.2 billion (Q1 2026), and $1.9 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 745.76 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 1.18 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 483.22 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 488.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 2.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Bn |
| Mar 31, 2026 | 2.05 Bn |
| Dec 31, 2025 | 2.10 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.62 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.73 Bn |
| Sep 30, 2024 | 1.37 Bn |
| Jun 30, 2024 | 1.53 Bn |
| Mar 31, 2024 | 1.51 Bn |
| Dec 31, 2023 | 1.94 Bn |
| Sep 30, 2023 | 1.47 Bn |
| Jun 30, 2023 | 1.66 Bn |
| Mar 31, 2023 | 1.57 Bn |
| Dec 31, 2022 | 2.41 Bn |
| Sep 30, 2022 | 1.56 Bn |
| Jun 30, 2022 | 1.50 Bn |
| Mar 31, 2022 | 1.53 Bn |
| Dec 31, 2021 | 2.01 Bn |
| Sep 30, 2021 | 1.35 Bn |
API Access
Baidu Receivables 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=receivables&ticker=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();