Lloyds Banking (LLOBF) Cash from Operations (2009 - 2018)
Lloyds Banking (LLOBF) recorded Cash from Operations of $7.52 billion in the year ended Dec 31, 2025, compared with -$5.62 billion a year earlier.
Lloyds Banking (LLOBF) Cash from Operations (2009 - 2018) Analysis & Trends
Starting with the year ended Dec 31, 2009, Lloyds Banking's Cash from Operations history includes 17 years.
- Annual Cash from Operations has a five-year compound annual growth rate of -27.0% (years ended Dec 2020 to Dec 2025).
- Annual Cash from Operations has ranged from -$5.62 billion in the year ended Dec 31, 2024 to $27.24 billion in the year ended Dec 31, 2022 over the past five years.
- Per Business Quant data, LLOBF's Cash from Operations was -$5.62 billion in the year ended Dec 31, 2024, $8.47 billion in the year ended Dec 31, 2023 (-68.9%), $27.24 billion in the year ended Dec 31, 2022 (+193.0%) and $9.3 billion in the year ended Dec 31, 2021 (-74.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.43 Bn | 902.43 Bn | - | - |
| 2 | Bank Of America | 357.00 Bn | -2,019.06 Bn | - | 29.04 Bn |
| 3 | Morgan Stanley | 299.14 Bn | 299.14 Bn | - | - |
| 4 | Hsbc Holdings | 296.86 Bn | -1,806.34 Bn | - | - |
| 5 | Royal Bank Of Canada | 286.81 Bn | -543.19 Bn | - | 25.17 Bn |
| 6 | Goldman Sachs | 269.93 Bn | 269.93 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 254.80 Bn | -77.44 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 251.37 Bn | 253.49 Bn | - | 8.87 Bn |
| 9 | Toronto Dominion Bank | 213.62 Bn | -462.26 Bn | - | -4.20 Bn |
| 10 | Lloyds Banking | 27.96 Bn | -493.56 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -14.29 Bn |
| Dec 31, 2015 | 24.84 Bn |
| Dec 31, 2013 | -25.15 Bn |
| Dec 31, 2010 | -3.22 Bn |
| Dec 31, 2009 | 8.29 Bn |
Lloyds Banking Cash from Operations 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=cash-from-operations&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();