Baidu (BIDU) Other Accumulated Expenses (2009 - 2026)
Baidu's Other Accumulated Expenses came in at $268 million for the quarter ended Jun 30, 2026, up 17.5% from $228 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Baidu (BIDU) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Baidu's Other Accumulated Expenses was $284 million, up 15.4% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 6.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $246 million in the year ended Dec 31, 2024 (+8.8%), $226 million in the year ended Dec 31, 2023 (-69.3%), $735 million in the year ended Dec 31, 2022 (+165.3%) and $277 million in the year ended Dec 31, 2021 (+36.5%).
- The five-year range for quarterly Other Accumulated Expenses is $204 million (the quarter ended Mar 31, 2024) to $759 million (the quarter ended Mar 31, 2023).
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Jun 30, 2023 (growth of 237.7%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 73.1%).
- Business Quant data shows BIDU's Other Accumulated Expenses at $284 million (quarter ended Mar 31, 2026), $280.29 million (quarter ended Dec 31, 2025) and $232 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268.00 Mn |
| Mar 31, 2026 | 284.00 Mn |
| Dec 31, 2025 | 280.29 Mn |
| Sep 30, 2025 | 232.00 Mn |
| Jun 30, 2025 | 228.00 Mn |
| Mar 31, 2025 | 232.00 Mn |
| Dec 31, 2024 | 249.75 Mn |
| Sep 30, 2024 | 279.00 Mn |
| Jun 30, 2024 | 252.00 Mn |
| Mar 31, 2024 | 204.00 Mn |
| Dec 31, 2023 | 222.64 Mn |
| Sep 30, 2023 | 718.00 Mn |
| Jun 30, 2023 | 699.00 Mn |
| Mar 31, 2023 | 759.00 Mn |
| Dec 31, 2022 | 712.44 Mn |
| Sep 30, 2022 | 489.00 Mn |
| Jun 30, 2022 | 207.00 Mn |
| Mar 31, 2022 | 245.00 Mn |
| Dec 31, 2021 | 275.91 Mn |
| Sep 30, 2021 | 283.00 Mn |
API Access
Baidu Other Accumulated 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=other-accumulated-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();