Live Oak Bancshares (LOB) Dividend Coverage Ratio (2024 - 2026)
Live Oak Bancshares' Dividend Coverage Ratio was 25.00 in Q2 2026, up 46.1% from 17.11 a year earlier and up 24.1% from the prior quarter.
Live Oak Bancshares (LOB) Dividend Coverage Ratio (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Live Oak Bancshares' Dividend Coverage Ratio was 23.94 through Jun 30, 2026; for FY2025, it was 18.74, up 30.7% from FY2024.
- In earlier years, Dividend Coverage Ratio was 14.33 in FY2024 (+3.3%) and 13.87 in FY2023.
- Quarterly Dividend Coverage Ratio has moved between 7.11 (Q1 2025) and 32.04 (Q4 2025) over five years.
- Compared with a year earlier, Dividend Coverage Ratio has increased for three straight quarters.
- Per Business Quant data, LOB's Dividend Coverage Ratio in the three quarters before Q2 2026 was 20.15 (Q1 2026), 32.04 (Q4 2025) and 18.59 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3.75 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 4.51 |
| 10 | Live Oak Bancshares | 1.68 Bn | 1.68 Bn | - | 25.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.00 |
| Mar 31, 2026 | 20.15 |
| Dec 31, 2025 | 32.04 |
| Sep 30, 2025 | 18.59 |
| Jun 30, 2025 | 17.11 |
| Mar 31, 2025 | 7.11 |
| Dec 31, 2024 | 7.30 |
Live Oak Bancshares Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=LOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "ticker": "LOB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividend-coverage-ratio&ticker=LOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();