Live Oak Bancshares (LOB) Cash from Operations (2015 - 2026)
Live Oak Bancshares (LOB) posted Cash from Operations of $31.19 million for Q2 2026, down 41.5% from $53.31 million a year earlier and down 64.3% from the prior quarter.
Live Oak Bancshares (LOB) Cash from Operations (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Live Oak Bancshares was $253.27 million, up 110.0% year-over-year; for FY2025, it was $158.24 million, up 0.9% from FY2024.
- In prior years, Live Oak Bancshares' Cash from Operations was $156.78 million in FY2024 (-15.2%), $184.9 million in FY2023, -$300.74 million in FY2022 and -$119.72 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Cash from Operations since Q1 2025.
- On a year-over-year basis, Cash from Operations increased in three of the last five quarters, with growth averaging 9.2%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q3 2023, with growth of 649.8%; the weakest was Q1 2024, with a decline of 81.0%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $87.38 million (Q1 2026), $79.69 million (Q4 2025) and $55.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Live Oak Bancshares | 1.68 Bn | 1.68 Bn | - | 31.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.19 Mn |
| Mar 31, 2026 | 87.38 Mn |
| Dec 31, 2025 | 79.69 Mn |
| Sep 30, 2025 | 55.01 Mn |
| Jun 30, 2025 | 53.31 Mn |
| Mar 31, 2025 | -29.77 Mn |
| Dec 31, 2024 | 49.67 Mn |
| Sep 30, 2024 | 47.41 Mn |
| Jun 30, 2024 | 29.53 Mn |
| Mar 31, 2024 | 30.17 Mn |
| Dec 31, 2023 | -264.93 Mn |
| Sep 30, 2023 | 154.89 Mn |
| Jun 30, 2023 | 136.48 Mn |
| Mar 31, 2023 | 158.46 Mn |
| Dec 31, 2022 | -399.07 Mn |
| Sep 30, 2022 | 20.66 Mn |
| Jun 30, 2022 | -78.77 Mn |
| Mar 31, 2022 | 156.44 Mn |
| Dec 31, 2021 | 14.49 Mn |
| Sep 30, 2021 | -15.18 Mn |
Live Oak Bancshares 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=LOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=LOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();