Lloyds Banking (LLOBF) Accumulated Expenses (2009 - 2022)
Lloyds Banking's Accumulated Expenses came in at $22.54 billion for the quarter ended Sep 30, 2022, compared with -$19.88 billion a year earlier and up 23.5% from the prior quarter.
Lloyds Banking (LLOBF) Accumulated Expenses (2009 - 2022) Analysis & Trends
As of Dec 31, 2021, Lloyds Banking's Accumulated Expenses was -$13 billion.
- Going back by year, Accumulated Expenses was -$19.14 billion in the year ended Dec 31, 2020, -$31.47 billion in the year ended Dec 31, 2019, -$4.4 billion in the year ended Dec 31, 2018 and -$20.94 billion in the year ended Dec 31, 2017.
- The figure for the quarter ended Sep 30, 2022 represents the highest quarterly Accumulated Expenses since the quarter ended Jun 30, 2009.
- Business Quant data shows LLOBF's Accumulated Expenses at $18.25 billion (quarter ended Jun 30, 2022), $5.12 billion (quarter ended Mar 31, 2022) and -$13 billion (quarter ended Dec 31, 2021) in the three quarters before the quarter ended Sep 30, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.89 Bn | 905.89 Bn | - |
| 2 | Bank Of America | 354.09 Bn | -2,022.02 Bn | - |
| 3 | Hsbc Holdings | 294.48 Bn | -1,809.11 Bn | - |
| 4 | Morgan Stanley | 288.62 Bn | -220.47 Bn | - |
| 5 | Royal Bank Of Canada | 286.75 Bn | -543.29 Bn | - |
| 6 | Goldman Sachs | 268.09 Bn | -3,289.02 Bn | - |
| 7 | Wells Fargo & Company | 257.35 Bn | 257.35 Bn | - |
| 8 | Mitsubishi Ufj Financial | 242.13 Bn | -99.26 Bn | 10.89 Bn |
| 9 | American Express | 218.58 Bn | 18.07 Bn | - |
| 10 | Lloyds Banking | 27.96 Bn | -487.60 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 22.54 Bn |
| Jun 30, 2022 | 18.25 Bn |
| Mar 31, 2022 | 5.12 Bn |
| Dec 31, 2021 | -13.00 Bn |
| Sep 30, 2021 | -19.88 Bn |
| Jun 30, 2021 | -15.90 Bn |
| Mar 31, 2021 | -4.13 Bn |
| Dec 31, 2020 | -19.14 Bn |
| Sep 30, 2020 | -2.21 Bn |
| Jun 30, 2020 | 1.26 Bn |
| Mar 31, 2020 | 20.42 Bn |
| Dec 31, 2019 | -31.47 Bn |
| Sep 30, 2019 | -24.60 Bn |
| Jun 30, 2019 | -17.76 Bn |
| Mar 31, 2019 | -11.20 Bn |
| Dec 31, 2018 | -4.40 Bn |
| Sep 30, 2018 | -10.28 Bn |
| Jun 30, 2018 | 6.16 Bn |
| Mar 31, 2018 | 2.85 Bn |
| Dec 31, 2017 | -20.94 Bn |
Lloyds Banking Accumulated Expenses 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=accumulated-expenses&ticker=LLOBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LLOBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();