Baidu (BIDU) Receivables (2009 - 2026)
Baidu (BIDU) recorded Receivables of $2.09 billion in the quarter ended Jun 30, 2026, up 21.3% from $1.72 billion a year earlier but down 3.7% from the prior quarter.
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Analysis
Baidu (BIDU) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Baidu reported Receivables of $1.96 billion, up 29.5% from the prior year.
- Annual Receivables has a five-year compound annual growth rate of 2.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $1.52 billion in the year ended Dec 31, 2024 (-12.3%), $1.73 billion in the year ended Dec 31, 2023 (-30.5%), $2.49 billion in the year ended Dec 31, 2022 (+19.2%) and $2.09 billion in the year ended Dec 31, 2021 (+19.0%).
- Quarterly Receivables has ranged from $1.52 billion in the quarter ended Dec 31, 2024 to $2.41 billion in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Receivables has increased for four consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 36.0% in the quarter ended Dec 31, 2022, against a decline of 29.4% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.17 billion (quarter ended Mar 31, 2026), $1.94 billion (quarter ended Dec 31, 2025) and $1.75 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.76 Bn | 245.84 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 247.26 Bn | 227.67 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 100.61 Bn | 87.93 Bn | 1.04 Bn | 718.46 Mn |
| 4 | Fortinet | 93.95 Bn | 79.88 Bn | 1.64 Bn | 1.46 Bn |
| 5 | Datadog | 68.23 Bn | 49.87 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Zscaler | 35.73 Bn | 21.85 Bn | - | 1.15 Bn |
| 7 | Axon Enterprise | 34.13 Bn | 28.65 Bn | 546.45 Mn | 1.52 Bn |
| 8 | Okta | 32.47 Bn | 22.57 Bn | 641.00 Mn | 469.00 Mn |
| 9 | MongoDB | 26.59 Bn | 17.06 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Baidu | 2.79 Bn | -72.67 Bn | 1.76 Mn | 1.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Bn |
| Mar 31, 2026 | 2.05 Bn |
| Dec 31, 2025 | 2.13 Bn |
| Sep 30, 2025 | 1.66 Bn |
| Jun 30, 2025 | 1.62 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.71 Bn |
| Sep 30, 2024 | 1.40 Bn |
| Jun 30, 2024 | 1.53 Bn |
| Mar 31, 2024 | 1.51 Bn |
| Dec 31, 2023 | 1.96 Bn |
| Sep 30, 2023 | 1.47 Bn |
| Jun 30, 2023 | 1.60 Bn |
| Mar 31, 2023 | 1.57 Bn |
| Dec 31, 2022 | 2.47 Bn |
| Sep 30, 2022 | 1.50 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();