Baidu (BIDU) Tax Provisions (2009 - 2026)
Baidu (BIDU) posted Tax Provisions of $147 million for the quarter ended Jun 30, 2026, up 19.5% from $123 million a year earlier and up 93.4% from the prior quarter.
Baidu (BIDU) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Baidu was $113 million, down 81.9% year-over-year; for the year ended Dec 31, 2025, it came in at $180 million, down 70.4% from the prior year.
- In prior years, Baidu's Tax Provisions was $609 million in the year ended Dec 31, 2024 (+18.5%), $514 million in the year ended Dec 31, 2023 (+37.4%), $374 million in the year ended Dec 31, 2022 (-25.2%) and $500 million in the year ended Dec 31, 2021.
- Quarterly Tax Provisions has run from a low of -$286 million in the quarter ended Sep 30, 2021 to a high of $222 million in the quarter ended Dec 31, 2024 over five years.
- On a year-over-year basis, Tax Provisions increased in two of the last six quarters, with an average decline of 14.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was the quarter ended Mar 31, 2023, with growth of 180.6%; the weakest was the quarter ended Jun 30, 2022, with a decline of 98.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $76 million (quarter ended Mar 31, 2026), $147 million (quarter ended Dec 31, 2025) and -$257 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 300.17 Bn | 285.24 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 267.92 Bn | 248.32 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 140.18 Bn | 126.11 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 125.06 Bn | 112.38 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 100.84 Bn | 82.49 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Okta | 39.98 Bn | 30.08 Bn | 641.00 Mn | 10.00 Mn |
| 7 | Zscaler | 37.13 Bn | 23.25 Bn | - | - |
| 8 | Axon Enterprise | 33.36 Bn | 27.88 Bn | 546.45 Mn | 3.26 Mn |
| 9 | MongoDB | 31.82 Bn | 22.29 Bn | 569.77 Mn | 5.01 Mn |
| 10 | Baidu | 2.89 Bn | -72.53 Bn | 1.76 Mn | 147.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.00 Mn |
| Mar 31, 2026 | 76.00 Mn |
| Dec 31, 2025 | 147.00 Mn |
| Sep 30, 2025 | -257.00 Mn |
| Jun 30, 2025 | 123.00 Mn |
| Mar 31, 2025 | 162.00 Mn |
| Dec 31, 2024 | 222.00 Mn |
| Sep 30, 2024 | 116.00 Mn |
| Jun 30, 2024 | 156.00 Mn |
| Mar 31, 2024 | 122.00 Mn |
| Dec 31, 2023 | -14.00 Mn |
| Sep 30, 2023 | 175.00 Mn |
| Jun 30, 2023 | 175.00 Mn |
| Mar 31, 2023 | 174.00 Mn |
| Dec 31, 2022 | 181.00 Mn |
| Sep 30, 2022 | 128.00 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 62.00 Mn |
| Dec 31, 2021 | 203.00 Mn |
| Sep 30, 2021 | -286.00 Mn |
Baidu Tax Provisions 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=tax-provisions&ticker=BIDU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();