Live Oak Bancshares (LOB) EBITDA (2015 - 2026)
Live Oak Bancshares' EBITDA came in at $168.47 million for Q2 2026, up 10.1% from $153.05 million a year earlier and up 4.3% from the prior quarter.
Live Oak Bancshares (LOB) EBITDA (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Live Oak Bancshares reported EBITDA of $677.55 million, up 21.7% year-over-year; for FY2025, it came in at $633.33 million, up 15.4% from FY2024.
- EBITDA has increased in each of the last seven years, with a five-year compound annual growth rate of 31.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $548.98 million in FY2024 (+22.8%), $447.07 million in FY2023 (+28.4%), $348.08 million in FY2022 (+17.4%) and $296.58 million in FY2021 (+82.2%).
- The five-year range for quarterly EBITDA is $56.58 million (Q4 2022) to $188.41 million (Q4 2025).
- Year-over-year, EBITDA has increased for seven consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2023 (growth of 111.7%), and the weakest in Q2 2023 (a decline of 25.3%).
- Business Quant data shows LOB's EBITDA at $161.49 million (Q1 2026), $188.41 million (Q4 2025) and $159.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Live Oak Bancshares | 1.68 Bn | 1.68 Bn | - | 168.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.47 Mn |
| Mar 31, 2026 | 161.49 Mn |
| Dec 31, 2025 | 188.41 Mn |
| Sep 30, 2025 | 159.19 Mn |
| Jun 30, 2025 | 153.05 Mn |
| Mar 31, 2025 | 132.68 Mn |
| Dec 31, 2024 | 134.97 Mn |
| Sep 30, 2024 | 136.08 Mn |
| Jun 30, 2024 | 148.53 Mn |
| Mar 31, 2024 | 129.40 Mn |
| Dec 31, 2023 | 119.77 Mn |
| Sep 30, 2023 | 139.46 Mn |
| Jun 30, 2023 | 109.64 Mn |
| Mar 31, 2023 | 78.21 Mn |
| Dec 31, 2022 | 56.58 Mn |
| Sep 30, 2022 | 81.41 Mn |
| Jun 30, 2022 | 146.78 Mn |
| Mar 31, 2022 | 63.31 Mn |
| Dec 31, 2021 | 67.82 Mn |
| Sep 30, 2021 | 63.61 Mn |
Live Oak Bancshares EBITDA 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=ebitda&ticker=LOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();