First Hawaiian (FHB) EBITDA (2015 - 2026)
First Hawaiian (FHB) posted EBITDA of $164.09 million for Q2 2026, down 3.8% from $170.62 million a year earlier but up 3.9% from the prior quarter.
First Hawaiian (FHB) EBITDA (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at First Hawaiian was $666.86 million, up 0.2% year-over-year; for FY2025, it came in at $675.37 million, down 1.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In prior years, First Hawaiian's EBITDA was $687.92 million in FY2024 (+7.6%), $639.39 million in FY2023 (+39.7%), $457.63 million in FY2022 (+9.1%) and $419.59 million in FY2021 (+18.6%).
- Quarterly EBITDA has run from a low of $84.14 million in Q4 2021 to a high of $182.01 million in Q2 2024 over five years.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 71.5%; the weakest was Q2 2022, with a decline of 26.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $158 million (Q1 2026), $167.53 million (Q4 2025) and $177.25 million (Q3 2025).
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 | First Hawaiian | 3.00 Bn | 3.00 Bn | - | 164.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.09 Mn |
| Mar 31, 2026 | 158.00 Mn |
| Dec 31, 2025 | 167.53 Mn |
| Sep 30, 2025 | 177.25 Mn |
| Jun 30, 2025 | 170.62 Mn |
| Mar 31, 2025 | 159.97 Mn |
| Dec 31, 2024 | 155.59 Mn |
| Sep 30, 2024 | 179.57 Mn |
| Jun 30, 2024 | 182.01 Mn |
| Mar 31, 2024 | 170.75 Mn |
| Dec 31, 2023 | 162.08 Mn |
| Sep 30, 2023 | 169.45 Mn |
| Jun 30, 2023 | 161.83 Mn |
| Mar 31, 2023 | 146.03 Mn |
| Dec 31, 2022 | 144.34 Mn |
| Sep 30, 2022 | 119.00 Mn |
| Jun 30, 2022 | 99.00 Mn |
| Mar 31, 2022 | 95.29 Mn |
| Dec 31, 2021 | 84.14 Mn |
| Sep 30, 2021 | 104.54 Mn |
First Hawaiian 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=FHB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "FHB", "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=FHB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();