Baidu (BIDU) Change in Receivables (2011 - 2018)
Baidu (BIDU) posted Change in Receivables of -$171.1 million for Q4 2018, down 25.81% on a QoQ basis from -$136.0 million in Q3 2018, and down 122.4% year-over-year from $763.8 million in Q4 2017.
Baidu (BIDU) Change in Receivables (2011 - 2018) Analysis & Trends
Baidu has reported Change in Receivables for 4 years, with the latest figure at -$171.1 million in Q4 2018.
- On a quarterly basis, Change in Receivables fell 122.4% year-over-year to -$171.1 million in Q4 2018; TTM through Dec 2018 was -$466.6 million, a 227.53% decrease from a year earlier, with the FY2025 full-year figure at -$645.0 million, down 1533.33% from the prior year.
- Change in Receivables was -$171.1 million for Q4 2018 at Baidu, down from -$136.0 million in the prior quarter.
- The five-year high for Change in Receivables was -$76.9 million in Q4 2017, with the low at -$171.1 million in Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 305.83 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 69.26 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 83.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -171.10 Mn |
| Sep 30, 2018 | -136.00 Mn |
| Dec 31, 2017 | -76.93 Mn |
| Sep 30, 2017 | -82.62 Mn |
| Dec 31, 2012 | 9.22 Mn |
| Dec 31, 2011 | 7.86 Mn |
Baidu Change in 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=change-in-receivables&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();