Lloyds Banking (LLOBF) EBIT (2010 - 2026)
Lloyds Banking (LLOBF) posted EBIT of $3.04 billion for the quarter ended Jun 30, 2026, up 14.8% from $2.65 billion a year earlier and up 11.5% from the prior quarter.
Lloyds Banking (LLOBF) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Lloyds Banking was $9.99 billion, down 60.8% year-over-year; for the year ended Dec 31, 2025, it came in at $31.88 billion, down 0.2% from the prior year.
- Annual EBIT shows a five-year compound annual growth rate of 16.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Lloyds Banking's EBIT was $31.93 billion in the year ended Dec 31, 2024 (+15.4%), $27.68 billion in the year ended Dec 31, 2023 (+135.3%), $11.76 billion in the year ended Dec 31, 2022 (-55.5%) and $26.44 billion in the year ended Dec 31, 2021 (+79.7%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBIT since the quarter ended Dec 31, 2024.
- On a year-over-year basis, EBIT increased in three of the last five quarters, with an average decline of 1.9%.
- The strongest year-over-year quarter for EBIT in the past five years was the quarter ended Sep 30, 2021, with growth of 161.2%; the weakest was the quarter ended Sep 30, 2022, with a decline of 97.9%.
- According to Business Quant data, EBIT for the three prior quarters was $2.73 billion (quarter ended Mar 31, 2026), $2.64 billion (quarter ended Dec 31, 2025) and $1.58 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.37 Bn | 911.37 Bn | - | - |
| 2 | Bank Of America | 359.03 Bn | -2,017.04 Bn | - | 29.40 Bn |
| 3 | Hsbc Holdings | 297.55 Bn | -1,806.05 Bn | - | 8.97 Bn |
| 4 | Morgan Stanley | 287.08 Bn | 287.08 Bn | - | - |
| 5 | Royal Bank Of Canada | 286.46 Bn | -543.58 Bn | - | 18.35 Bn |
| 6 | Goldman Sachs | 267.34 Bn | 267.34 Bn | - | - |
| 7 | Wells Fargo & Company | 252.65 Bn | 252.65 Bn | - | 18.49 Bn |
| 8 | Mitsubishi Ufj Financial | 245.38 Bn | -96.01 Bn | 10.89 Bn | 5.11 Bn |
| 9 | American Express | 215.08 Bn | 14.56 Bn | - | 6.45 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -487.60 Bn | - | 3.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.13 Bn |
| Jun 30, 2026 | 3.04 Bn |
| Mar 31, 2026 | 2.73 Bn |
| Dec 31, 2025 | 2.64 Bn |
| Sep 30, 2025 | 1.58 Bn |
| Jun 30, 2025 | 2.65 Bn |
| Mar 31, 2025 | 1.91 Bn |
| Dec 31, 2024 | 15.84 Bn |
| Sep 30, 2024 | 5.10 Bn |
| Jun 30, 2024 | 2.14 Bn |
| Mar 31, 2024 | 2.07 Bn |
| Jun 30, 2023 | 2.01 Bn |
| Mar 31, 2023 | 2.75 Bn |
| Dec 31, 2022 | 8.13 Bn |
| Sep 30, 2022 | 678.84 Mn |
| Jun 30, 2022 | 1.92 Bn |
| Mar 31, 2022 | -5.39 Bn |
| Dec 31, 2021 | 8.89 Bn |
| Sep 30, 2021 | 32.04 Bn |
| Jun 30, 2021 | 2.81 Bn |
Lloyds Banking EBIT 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=ebit&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();