Baidu (BIDU) Change in Accured Expenses (2011 - 2018)

Baidu (BIDU) posted Change in Accured Expenses of $386.7 million for Q4 2018, up 2374.94% on a QoQ basis from -$17.0 million in Q3 2018, and up 82.77% year-over-year from $211.6 million in Q4 2017.

Analysis

Baidu (BIDU) Change in Accured Expenses (2011 - 2018) Analysis & Trends

Baidu has reported Change in Accured Expenses for 4 years, with the latest figure at $386.7 million in Q4 2018.

On a quarterly basis, Change in Accured Expenses rose 82.77% year-over-year to $386.7 million in Q4 2018; TTM through Dec 2018 was $1.0 billion, a 41.41% increase from a year earlier, with the FY2025 full-year figure at -$264.0 million, down 183.81% from the prior year.
Change in Accured Expenses was $386.7 million for Q4 2018 at Baidu, up from -$17.0 million in the prior quarter.
The five-year high for Change in Accured Expenses was $422.8 million in Q3 2017, with the low at -$17.0 million in Q3 2018.

Peer Set

Peer Comparison

All peers

#	Company	Market Cap	Enterprise Value	Gross Profit (Qtr)	Change Accured Exp. (Qtr)
1	Palo Alto Networks	320.54 Bn	317.47 Bn	2.30 Bn	369.00 Mn
2	CrowdStrike Holdings	268.77 Bn	263.80 Bn	1.10 Bn	72.38 Mn
3	Fortinet	131.12 Bn	127.05 Bn	1.64 Bn	75.10 Mn
4	Snowflake	118.02 Bn	115.67 Bn	1.04 Bn	108.85 Mn
5	Datadog	90.27 Bn	85.29 Bn	881.34 Mn	6.98 Mn
6	Axon Enterprise	36.61 Bn	35.93 Bn	546.45 Mn	256.58 Mn
7	Zscaler	34.97 Bn	31.49 Bn	-	-
8	MongoDB	34.51 Bn	32.10 Bn	569.77 Mn	43.09 Mn
9	Okta	34.32 Bn	32.02 Bn	641.00 Mn	-2.00 Mn
10	Baidu	30.55 Bn	8.15 Bn	1.76 Mn	-

Historic Data

Download 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 Accured 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();

API documentation

Baidu (BIDU) Change in Accured Expenses (2011 - 2018)