Hsbc Holdings (HSBC) Exchange Rate Effect (2015 - 2019)
Hsbc Holdings' Exchange Rate Effect was $99 million in FY2025, compared with -$144 million in FY2024.
Analysis
Hsbc Holdings (HSBC) Exchange Rate Effect (2015 - 2019) Analysis & Trends
From FY2009 onward, Hsbc Holdings has reported Exchange Rate Effect for 13 years.
- Exchange Rate Effect shows a five-year compound annual growth rate of -67.4% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Exchange Rate Effect since FY2020.
- Per Business Quant data, Exchange Rate Effect in earlier years was -$144 million in FY2024, -$72 million in FY2023 and -$10.53 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | -6.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 129.00 Mn |
| Dec 31, 2018 | 9.96 Mn |
| Dec 31, 2015 | -13.98 Bn |
| Sep 30, 2015 | -3.00 Mn |
| Mar 31, 2015 | 101.00 Mn |
API Access
Hsbc Holdings 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=HSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "HSBC", "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=HSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();