JD.com (JD) Exchange Rate Effect (2013 - 2026)
JD.com (JD) posted Exchange Rate Effect of -$178 million for Q4 2026.
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Analysis
JD.com (JD) Exchange Rate Effect (2013 - 2026) Analysis & Trends
For FY2026, JD.com's Exchange Rate Effect came in at -$401 million.
- In prior years, JD.com's Exchange Rate Effect was -$27 million in FY2025, $13 million in FY2024 (-23.5%), $17 million in FY2023 (-96.6%) and $506 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 72.00 Mn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 680,000.00 |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 11.91 Mn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -178.00 Mn |
| Mar 31, 2026 | -219.00 Mn |
| Dec 31, 2025 | 127.00 Mn |
| Sep 30, 2025 | -89.00 Mn |
| Jun 30, 2025 | -12.00 Mn |
| Mar 31, 2025 | -47.00 Mn |
| Dec 31, 2024 | 155.00 Mn |
| Sep 30, 2024 | -114.00 Mn |
| Jun 30, 2024 | -17.00 Mn |
| Mar 31, 2024 | -18.00 Mn |
| Dec 31, 2023 | -29.00 Mn |
| Sep 30, 2023 | -104.00 Mn |
| Jun 30, 2023 | 252.00 Mn |
| Mar 31, 2023 | -106.00 Mn |
| Dec 31, 2022 | -142.00 Mn |
| Sep 30, 2022 | 253.00 Mn |
| Jun 30, 2022 | 466.00 Mn |
| Mar 31, 2022 | -73.00 Mn |
| Dec 31, 2021 | -225.67 Mn |
| Sep 30, 2021 | 48.17 Mn |
API Access
JD.com 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=JD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "JD", "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=JD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();