FB Financial (FBK) EBITDA (2016 - 2026)
FB Financial's EBITDA came in at $158.51 million for Q2 2026, up 146.0% from $64.43 million a year earlier and unchanged from the prior quarter.
FB Financial (FBK) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, FB Financial reported EBITDA of $602 million, up 44.9% year-over-year; for FY2025, it was $473.7 million, up 0.7% from FY2024.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $470.62 million in FY2024 (+7.9%), $436.32 million in FY2023 (+80.8%), $241.36 million in FY2022 (-18.1%) and $294.57 million in FY2021 (+104.1%).
- The five-year range for quarterly EBITDA is $37.32 million (Q2 2022) to $160.42 million (Q4 2025).
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 24.4% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 758.2%), and the weakest in Q2 2025 (a decline of 50.2%).
- Business Quant data shows FBK's EBITDA at $158.55 million (Q1 2026), $160.42 million (Q4 2025) and $124.52 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 | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | FB Financial | 2.61 Bn | -2.10 Bn | - | 158.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.51 Mn |
| Mar 31, 2026 | 158.55 Mn |
| Dec 31, 2025 | 160.42 Mn |
| Sep 30, 2025 | 124.52 Mn |
| Jun 30, 2025 | 64.43 Mn |
| Mar 31, 2025 | 124.32 Mn |
| Dec 31, 2024 | 131.80 Mn |
| Sep 30, 2024 | 94.98 Mn |
| Jun 30, 2024 | 129.32 Mn |
| Mar 31, 2024 | 114.52 Mn |
| Dec 31, 2023 | 114.33 Mn |
| Sep 30, 2023 | 99.71 Mn |
| Jun 30, 2023 | 117.17 Mn |
| Mar 31, 2023 | 105.12 Mn |
| Dec 31, 2022 | 88.24 Mn |
| Sep 30, 2022 | 61.03 Mn |
| Jun 30, 2022 | 37.32 Mn |
| Mar 31, 2022 | 54.77 Mn |
| Dec 31, 2021 | 73.73 Mn |
| Sep 30, 2021 | 66.68 Mn |
FB Financial 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=FBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FBK", "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=FBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();