Lloyds Banking (LLOBF) Exchange Rate Effect (2012 - 2020)
Lloyds Banking (LLOBF) recorded Exchange Rate Effect of -$506.45 million in the year ended Dec 31, 2025, compared with $12.78 million a year earlier.
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Analysis
Lloyds Banking (LLOBF) Exchange Rate Effect (2012 - 2020) Analysis & Trends
Starting with the year ended Dec 31, 2009, Lloyds Banking's Exchange Rate Effect history includes 17 years.
- Annual Exchange Rate Effect has ranged from -$597.04 million in the year ended Dec 31, 2023 to $899.74 million in the year ended Dec 31, 2022 over the past five years.
- Per Business Quant data, LLOBF's Exchange Rate Effect was $12.78 million in the year ended Dec 31, 2024, -$597.04 million in the year ended Dec 31, 2023, $899.74 million in the year ended Dec 31, 2022 (+380.8%) and $187.12 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.40 Bn | 903.40 Bn | - | - |
| 2 | Bank Of America | 362.39 Bn | -2,013.68 Bn | - | -289.00 Mn |
| 3 | Hsbc Holdings | 300.13 Bn | -1,529.03 Bn | - | - |
| 4 | Morgan Stanley | 290.76 Bn | 290.76 Bn | - | - |
| 5 | Royal Bank Of Canada | 286.28 Bn | -543.76 Bn | - | 723.66 Mn |
| 6 | Goldman Sachs | 273.64 Bn | 273.64 Bn | - | - |
| 7 | Wells Fargo & Company | 251.74 Bn | 251.74 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 244.81 Bn | -96.58 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 217.06 Bn | -458.81 Bn | - | 134.12 Mn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -258.81 Mn |
| Dec 31, 2019 | -6.43 Mn |
| Dec 31, 2015 | 3.03 Mn |
| Dec 31, 2014 | -9.51 Mn |
| Dec 31, 2013 | -85.81 Mn |
| Dec 31, 2012 | -12.85 Mn |
API Access
Lloyds Banking 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=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LLOBF", "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=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();