Lloyds Banking (LLOBF) Revenue (2009 - 2026)
Analysis
Lloyds Banking (LLOBF) Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 50.17 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 29.96 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 18.62 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 13.30 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 20.34 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 18.68 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 21.87 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 9.94 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 20.06 Bn |
| 10 | Lloyds Banking | 111.85 Bn | -403.70 Bn | - | 7.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.33 Bn |
| Jun 30, 2026 | 7.30 Bn |
| Mar 31, 2026 | 6.99 Bn |
| Dec 31, 2025 | 6.88 Bn |
| Sep 30, 2025 | 6.57 Bn |
| Jun 30, 2025 | 6.26 Bn |
| Mar 31, 2025 | 5.91 Bn |
| Dec 31, 2024 | 44.00 Bn |
| Sep 30, 2024 | 16.39 Bn |
| Jun 30, 2024 | -3.08 Bn |
| Mar 31, 2024 | 14.36 Bn |
| Sep 30, 2023 | 17.35 Bn |
| Jun 30, 2023 | 6.99 Bn |
| Mar 31, 2023 | 11.32 Bn |
| Dec 31, 2022 | -12.03 Bn |
| Sep 30, 2022 | 4.26 Bn |
| Jun 30, 2022 | 14.81 Bn |
| Mar 31, 2022 | 312.65 Mn |
| Dec 31, 2021 | 15.99 Bn |
| Sep 30, 2021 | 37.34 Bn |
API Access
Lloyds Banking Revenue 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=revenue&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();