Lloyds Banking (LLOBF) EPS (Diluted) (2015 - 2026)
Lloyds Banking (LLOBF) reported EPS (Diluted) of $0.12 for the quarter ended Sep 30, 2026, up 280.3% from $0.03 a year earlier but down 17.1% from the prior quarter.
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Analysis
Lloyds Banking (LLOBF) EPS (Diluted) (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Lloyds Banking's EPS (Diluted) came in at $0.55, down 1.9% year-over-year; for the year ended Dec 31, 2025, it was $0.37, up 15.0% from the prior year.
- EPS (Diluted) has a five-year compound annual growth rate of 42.4% (years ended Dec 2020 to Dec 2025).
- By year, EPS (Diluted) came in at $0.32 in the year ended Dec 31, 2024 (-14.8%), $0.37 in the year ended Dec 31, 2023 (+55.0%), $0.24 in the year ended Dec 31, 2022 (-41.4%) and $0.41 in the year ended Dec 31, 2021 (+558.4%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.12 in the quarter ended Jun 30, 2022 and a high of $0.37 in the quarter ended Dec 31, 2023.
- Year over year, EPS (Diluted) has now increased in each of the last three quarters, with growth averaging 43.9% over the last seven quarters.
- The high point for year-over-year EPS (Diluted) in five years was the quarter ended Dec 31, 2023 (growth of 329.1%); the low point was the quarter ended Sep 30, 2022 (a decline of 97.2%).
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at $0.15 (quarter ended Jun 30, 2026), $0.13 (quarter ended Mar 31, 2026) and $0.16 (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 904.68 Bn | 904.68 Bn | - | 5.57 |
| 2 | Bank Of America | 356.92 Bn | -2,019.19 Bn | - | 0.90 |
| 3 | Hsbc Holdings | 303.47 Bn | -1,800.12 Bn | - | 2.02 |
| 4 | Morgan Stanley | 285.72 Bn | -258.31 Bn | - | 3.03 |
| 5 | Royal Bank Of Canada | 285.56 Bn | -544.48 Bn | - | 3.06 |
| 6 | Goldman Sachs | 261.11 Bn | -3,482.34 Bn | - | 17.01 |
| 7 | Wells Fargo & Company | 254.44 Bn | 254.44 Bn | - | 1.87 |
| 8 | Mitsubishi Ufj Financial | 239.11 Bn | -102.28 Bn | 10.89 Bn | 2.15 |
| 9 | American Express | 217.51 Bn | 17.00 Bn | - | 5.51 |
| 10 | Lloyds Banking | 111.85 Bn | -403.70 Bn | - | 0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.12 |
| Jun 30, 2026 | 0.15 |
| Mar 31, 2026 | 0.13 |
| Dec 31, 2025 | 0.16 |
| Sep 30, 2025 | 0.03 |
| Jun 30, 2025 | 0.13 |
| Mar 31, 2025 | 0.08 |
| Dec 31, 2024 | 0.32 |
| Sep 30, 2024 | 0.19 |
| Jun 30, 2024 | 0.10 |
| Mar 31, 2024 | 0.08 |
| Dec 31, 2023 | 0.37 |
| Jun 30, 2023 | 0.09 |
| Mar 31, 2023 | 0.11 |
| Dec 31, 2022 | 0.09 |
| Sep 30, 2022 | 0.01 |
| Jun 30, 2022 | -0.12 |
| Mar 31, 2022 | 0.31 |
| Dec 31, 2021 | 0.31 |
| Sep 30, 2021 | 0.10 |
API Access
Lloyds Banking EPS (Diluted) 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=eps-diluted&ticker=LLOBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();