First Financial (THFF) EBITDA (2010 - 2026)
First Financial (THFF) posted EBITDA of $54.25 million for Q2 2026, up 14.1% from $47.54 million a year earlier and up 11.7% from the prior quarter.
First Financial (THFF) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at First Financial was $203.84 million, up 12.9% year-over-year; for FY2025, it was $196.65 million, up 25.4% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior years, First Financial's EBITDA was $156.86 million in FY2024 (+11.9%), $140.16 million in FY2023 (+25.0%), $112.13 million in FY2022 (+39.2%) and $80.56 million in FY2021 (-6.1%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA has increased in each of the last seven quarters, with growth averaging 19.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 140.9%; the weakest was Q4 2021, with a decline of 47.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $48.57 million (Q1 2026), $50.59 million (Q4 2025) and $50.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | First Financial | 883.09 Mn | 883.09 Mn | - | 54.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.25 Mn |
| Mar 31, 2026 | 48.57 Mn |
| Dec 31, 2025 | 50.59 Mn |
| Sep 30, 2025 | 50.43 Mn |
| Jun 30, 2025 | 47.54 Mn |
| Mar 31, 2025 | 48.09 Mn |
| Dec 31, 2024 | 46.61 Mn |
| Sep 30, 2024 | 38.26 Mn |
| Jun 30, 2024 | 36.71 Mn |
| Mar 31, 2024 | 35.27 Mn |
| Dec 31, 2023 | 34.88 Mn |
| Sep 30, 2023 | 38.54 Mn |
| Jun 30, 2023 | 35.21 Mn |
| Mar 31, 2023 | 31.54 Mn |
| Dec 31, 2022 | 29.04 Mn |
| Sep 30, 2022 | 29.35 Mn |
| Jun 30, 2022 | 23.62 Mn |
| Mar 31, 2022 | 30.13 Mn |
| Dec 31, 2021 | 12.06 Mn |
| Sep 30, 2021 | 23.81 Mn |
First 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=THFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "THFF", "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=THFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();