Lloyds Banking (LLOBF) Assets (2009 - 2026)
Analysis
Lloyds Banking (LLOBF) Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1,316.85 Bn |
| Jun 30, 2026 | 1,317.65 Bn |
| Mar 31, 2026 | 1,275.29 Bn |
| Dec 31, 2025 | 1,271.40 Bn |
| Sep 30, 2025 | 1,259.69 Bn |
| Jun 30, 2025 | 1,261.23 Bn |
| Mar 31, 2025 | 1,177.25 Bn |
| Dec 31, 2024 | 1,137.82 Bn |
| Sep 30, 2024 | 815.86 Bn |
| Jun 30, 2024 | 1,129.17 Bn |
| Mar 31, 2024 | 1,123.23 Bn |
| Dec 31, 2023 | 1,122.44 Bn |
| Sep 30, 2023 | 1,089.99 Bn |
| Jun 30, 2023 | 1,113.63 Bn |
| Mar 31, 2023 | 1,097.17 Bn |
| Dec 31, 2022 | 1,052.99 Bn |
| Sep 30, 2022 | 997.34 Bn |
| Jun 30, 2022 | 1,080.23 Bn |
| Mar 31, 2022 | 1,195.47 Bn |
| Dec 31, 2021 | 1,189.55 Bn |
API Access
Lloyds Banking Assets 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=assets&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();