Baidu (BIDU) Change in Accrued Expenses (2011 - 2018)
Baidu (BIDU) recorded Change in Accured Expenses of -$264 million in the year ended Dec 31, 2025, compared with $315 million a year earlier.
Analysis
Baidu (BIDU) Change in Accrued Expenses (2011 - 2018) Analysis & Trends
Starting with the year ended Dec 31, 2009, Baidu's Change in Accured Expenses history includes 17 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Change in Accured Expenses in data going back to the year ended Dec 31, 2009.
- Per Business Quant data, BIDU's Change in Accured Expenses was $315 million in the year ended Dec 31, 2024 (+71.2%), $184 million in the year ended Dec 31, 2023, -$209 million in the year ended Dec 31, 2022 and $1.12 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Baidu | 2.81 Bn | -72.64 Bn | 1.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 386.74 Mn |
| Sep 30, 2018 | -17.00 Mn |
| Dec 31, 2017 | 211.60 Mn |
| Sep 30, 2017 | 422.84 Mn |
| Dec 31, 2012 | 42.52 Mn |
| Dec 31, 2011 | 33.16 Mn |
API Access
Baidu Change in Accrued Expenses 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-accured-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();