Ing Groep (ING) Exchange Rate Effect (2009 - 2026)
Ing Groep (ING) reported Exchange Rate Effect of -$39.52 million for Q4 2026, compared with -$103.01 million a year earlier.
Analysis
Ing Groep (ING) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026, Ing Groep posted Exchange Rate Effect of -$39.67 million.
- By year, Exchange Rate Effect came in at -$61.01 million in FY2025, -$800.93 million in FY2024, -$971.38 million in FY2023 and -$531.19 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Ing Groep | 103.01 Bn | -127.17 Bn | - | -39.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.52 Mn |
| Dec 31, 2025 | -62.86 Mn |
| Jun 30, 2025 | -103.01 Mn |
| Dec 31, 2024 | 92.97 Mn |
| Jun 30, 2023 | -1.11 Bn |
| Dec 31, 2022 | 69.38 Mn |
| Dec 31, 2020 | -28.61 Mn |
| Dec 31, 2019 | -7.75 Mn |
| Jun 30, 2019 | -59.55 Mn |
| Dec 31, 2018 | -22.83 Mn |
| Dec 31, 2010 | 578.50 Mn |
| Dec 31, 2009 | 91.56 Mn |
| Sep 30, 2009 | -659.27 Mn |
API Access
Ing Groep 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=ING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ING", "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=ING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();