Lloyds Banking (LLOBF) Net Income (2010 - 2026)
Lloyds Banking's Net Income was $2.1 billion in the quarter ended Jun 30, 2026, up 11.8% from $1.88 billion a year earlier and up 0.3% from the prior quarter.
Lloyds Banking (LLOBF) Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lloyds Banking's Net Income was $7.16 billion through Jun 30, 2026, down 70.9% year-over-year; for the year ended Dec 31, 2025, it came in at $6.27 billion, up 9.6% from the prior year.
- Net Income shows a five-year compound annual growth rate of 28.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Net Income was $5.72 billion in the year ended Dec 31, 2024 (-16.6%), $6.86 billion in the year ended Dec 31, 2023 (+41.4%), $4.86 billion in the year ended Dec 31, 2022 (-40.0%) and $8.1 billion in the year ended Dec 31, 2021 (+354.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Net Income since the quarter ended Dec 31, 2024.
- Compared with a year earlier, Net Income was higher in three of the last five quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Net Income over five years was the quarter ended Sep 30, 2021 (growth of 141.8%); the worst was the quarter ended Dec 31, 2025 (a decline of 89.2%).
- Per Business Quant data, LLOBF's Net Income in the three quarters before the quarter ended Jun 30, 2026 was $2.1 billion (quarter ended Mar 31, 2026), $1.91 billion (quarter ended Dec 31, 2025) and $1.05 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.43 Bn | 902.43 Bn | - | - |
| 2 | Bank Of America | 357.00 Bn | -2,019.06 Bn | - | 9.07 Bn |
| 3 | Morgan Stanley | 299.14 Bn | 299.14 Bn | - | - |
| 4 | Hsbc Holdings | 296.86 Bn | -1,806.34 Bn | - | 7.57 Bn |
| 5 | Royal Bank Of Canada | 286.81 Bn | -543.19 Bn | - | 4.32 Bn |
| 6 | Goldman Sachs | 269.93 Bn | 269.93 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 254.80 Bn | -77.44 Bn | 10.89 Bn | 5.31 Bn |
| 8 | Wells Fargo & Company | 251.37 Bn | 253.49 Bn | - | 5.95 Bn |
| 9 | Toronto Dominion Bank | 213.62 Bn | -462.26 Bn | - | 3.31 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | 2.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | 2.10 Bn |
| Dec 31, 2025 | 1.91 Bn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 1.88 Bn |
| Mar 31, 2025 | 1.43 Bn |
| Dec 31, 2024 | 17.75 Bn |
| Sep 30, 2024 | 3.54 Bn |
| Jun 30, 2024 | 1.55 Bn |
| Mar 31, 2024 | 1.54 Bn |
| Jun 30, 2023 | 1.53 Bn |
| Mar 31, 2023 | 1.99 Bn |
| Dec 31, 2022 | 1.15 Bn |
| Sep 30, 2022 | 582.20 Mn |
| Jun 30, 2022 | 1.57 Bn |
| Mar 31, 2022 | 1.62 Bn |
| Dec 31, 2021 | 566.16 Mn |
| Sep 30, 2021 | 2.21 Bn |
| Jun 30, 2021 | 3.45 Bn |
| Mar 31, 2021 | 1.93 Bn |
Lloyds Banking Net 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=net-income&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();