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 $5.33 billion, down 54.8% year-over-year; for the year ended Dec 31, 2025, it came in at -$14.55 billion.
- In prior years, Lloyds Banking's EBIT was -$16.67 billion in the year ended Dec 31, 2024, -$9.02 billion in the year ended Dec 31, 2023, $73.02 million in the year ended Dec 31, 2022 (-99.2%) and $9.25 billion in the year ended Dec 31, 2021 (+341.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBIT since the quarter ended Sep 30, 2024.
- On a year-over-year basis, EBIT increased in three of the last four quarters, with growth averaging 18.5%.
- The strongest year-over-year quarter for EBIT in the past five years was the quarter ended Sep 30, 2021, with growth of 109.2%; the weakest was the quarter ended Sep 30, 2022, with a decline of 75.7%.
- According to Business Quant data, EBIT for the three prior quarters was $2.73 billion (quarter ended Mar 31, 2026), -$2.02 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 | 903.83 Bn | 903.83 Bn | - | - |
| 2 | Bank Of America | 362.03 Bn | -2,014.04 Bn | - | 29.40 Bn |
| 3 | Hsbc Holdings | 297.98 Bn | -1,531.17 Bn | - | 9.36 Bn |
| 4 | Morgan Stanley | 290.49 Bn | 290.49 Bn | - | - |
| 5 | Royal Bank Of Canada | 285.51 Bn | -544.54 Bn | - | 18.35 Bn |
| 6 | Goldman Sachs | 273.84 Bn | 273.84 Bn | - | - |
| 7 | Wells Fargo & Company | 251.50 Bn | 251.50 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 244.81 Bn | -96.58 Bn | 10.89 Bn | 5.11 Bn |
| 9 | Toronto Dominion Bank | 216.62 Bn | -459.26 Bn | - | 757.36 Mn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | 3.04 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Mar 31, 2021 | 3.75 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();