Baidu (BIDU) Exchange Rate Effect (2011 - 2026)
Baidu (BIDU) posted Exchange Rate Effect of -$31.0 million for Q2 2026, up 20.51% on a QoQ basis from -$39.0 million in Q1 2026, and up 6.06% year-over-year from -$29.2 million in Q2 2025.
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Analysis
Baidu (BIDU) Exchange Rate Effect (2011 - 2026) Analysis & Trends
Baidu has reported Exchange Rate Effect for 12 years, with the latest figure at -$31.0 million in Q2 2026.
- On a quarterly basis, Exchange Rate Effect rose 6.06% year-over-year to -$31.0 million in Q2 2026; TTM through Jun 2026 was -$141.0 million, a 131.15% decrease from a year earlier, with the FY2025 full-year figure at -$107.0 million, down 923.08% from the prior year.
- Exchange Rate Effect was -$31.0 million for Q2 2026 at Baidu, up from -$39.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $287.0 million in Q3 2022, with the low at -$207.0 million in Q4 2022.
- Average Exchange Rate Effect over 5 years is $6.4 million, with a median of -$21.5 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2026: Exchange Rate Effect surged 2709.09% in 2022, then plunged 3800.0% in 2026.
- Over 5 years, Exchange Rate Effect stood at -$207.0 million in 2022, then jumped by 72.95% to -$56.0 million in 2023, then surged by 257.14% to $88.0 million in 2024, then tumbled by 148.86% to -$43.0 million in 2025, then grew by 27.91% to -$31.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$31.0 million (Q2 2026), -$39.0 million (Q1 2026), and -$43.0 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | - |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 782,000.00 |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | -2.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | -2.18 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | -3.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | -31.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.00 Mn |
| Mar 31, 2026 | -39.00 Mn |
| Dec 31, 2025 | -43.00 Mn |
| Sep 30, 2025 | -28.00 Mn |
| Jun 30, 2025 | -33.00 Mn |
| Mar 31, 2025 | -1.00 Mn |
| Dec 31, 2024 | 88.00 Mn |
| Sep 30, 2024 | -115.00 Mn |
| Jun 30, 2024 | 12.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | -56.00 Mn |
| Sep 30, 2023 | 22.00 Mn |
| Jun 30, 2023 | 86.00 Mn |
| Mar 31, 2023 | -15.00 Mn |
| Dec 31, 2022 | -207.00 Mn |
| Sep 30, 2022 | 287.00 Mn |
| Jun 30, 2022 | 195.00 Mn |
| Mar 31, 2022 | -29.00 Mn |
| Dec 31, 2021 | -104.00 Mn |
| Sep 30, 2021 | -11.00 Mn |
API Access
Baidu Exchange Rate Effect 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=exchange-rate-effect&ticker=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();