Lloyds Banking (LLOBF) Operating Income (2011 - 2024)
Lloyds Banking (LLOBF) reported Operating Income of $3.21 billion for the year ended Dec 31, 2017, down 31.7% from $4.7 billion a year earlier.
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Analysis
Lloyds Banking (LLOBF) Operating Income (2011 - 2024) Analysis & Trends
- According to Business Quant data, Operating Income came in at $4.7 billion in the year ended Dec 31, 2016 (+217.1%) and $1.48 billion in the year ended Dec 31, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 354.69 Bn | -2,021.38 Bn | - | - |
| 2 | Hsbc Holdings | 313.17 Bn | -1,515.98 Bn | - | 9.36 Bn |
| 3 | Royal Bank Of Canada | 283.77 Bn | -546.23 Bn | - | - |
| 4 | Mitsubishi Ufj Financial | 250.29 Bn | -81.95 Bn | 10.89 Bn | 5.11 Bn |
| 5 | Toronto Dominion Bank | 211.68 Bn | -464.20 Bn | - | 757.36 Mn |
| 6 | Banco Santander | 181.85 Bn | -492.66 Bn | 10.41 Bn | 10.44 Bn |
| 7 | UBS Group AG | 155.28 Bn | -774.57 Bn | - | - |
| 8 | Bank Of Montreal | 120.87 Bn | -657.48 Bn | - | - |
| 9 | Canadian Imperial Bank Of Commerce | 107.05 Bn | 66.34 Bn | - | - |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 15.84 Bn |
| Mar 31, 2022 | -5.39 Bn |
| Dec 31, 2021 | 8.89 Bn |
| Sep 30, 2021 | 32.04 Bn |
| Mar 31, 2021 | 3.75 Bn |
| Dec 31, 2020 | 15.43 Bn |
| Sep 30, 2020 | 12.27 Bn |
| Jun 30, 2020 | -13.07 Bn |
| Mar 31, 2020 | 11.35 Bn |
| Dec 31, 2019 | 5.44 Bn |
| Sep 30, 2019 | -1.49 Bn |
| Jun 30, 2019 | 7.78 Bn |
| Mar 31, 2019 | 11.90 Bn |
| Dec 31, 2018 | -5.94 Bn |
| Sep 30, 2018 | 778.16 Mn |
| Jun 30, 2018 | 10.32 Bn |
| Mar 31, 2018 | -2.22 Bn |
| Dec 31, 2017 | -30.54 Mn |
| Sep 30, 2017 | 808.68 Mn |
| Jun 30, 2017 | 540.51 Mn |
API Access
Lloyds Banking Operating Income 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=operating-income&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();