Hilltop Holdings (HTH) EBITDA (2010 - 2026)
Hilltop Holdings (HTH) recorded EBITDA of $125.2 million in Q2 2026, down 10.8% from $140.41 million a year earlier but up 0.6% from the prior quarter.
Hilltop Holdings (HTH) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Hilltop Holdings' EBITDA came in at $539.41 million as of Jun 30, 2026, down 9.6% year-over-year; for FY2025, it came in at $580.12 million, down 2.1% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $592.8 million in FY2024 (+9.7%), $540.28 million in FY2023 (+68.4%), $320.89 million in FY2022 (-49.5%) and $635.69 million in FY2021 (-10.3%).
- Quarterly EBITDA has ranged from $57.21 million in Q1 2022 to $158.66 million in Q3 2023 over the past five years.
- On a year-over-year basis, EBITDA has declined for four consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 94.6% in Q3 2023, against a decline of 72.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $124.43 million (Q1 2026), $137.4 million (Q4 2025) and $152.37 million (Q3 2025).
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 | Hilltop Holdings | 2.18 Bn | -388.00 Mn | - | 125.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.20 Mn |
| Mar 31, 2026 | 124.43 Mn |
| Dec 31, 2025 | 137.40 Mn |
| Sep 30, 2025 | 152.37 Mn |
| Jun 30, 2025 | 140.41 Mn |
| Mar 31, 2025 | 149.93 Mn |
| Dec 31, 2024 | 152.13 Mn |
| Sep 30, 2024 | 154.20 Mn |
| Jun 30, 2024 | 137.36 Mn |
| Mar 31, 2024 | 149.11 Mn |
| Dec 31, 2023 | 148.00 Mn |
| Sep 30, 2023 | 158.66 Mn |
| Jun 30, 2023 | 126.66 Mn |
| Mar 31, 2023 | 106.96 Mn |
| Dec 31, 2022 | 105.17 Mn |
| Sep 30, 2022 | 81.53 Mn |
| Jun 30, 2022 | 76.99 Mn |
| Mar 31, 2022 | 57.21 Mn |
| Dec 31, 2021 | 110.51 Mn |
| Sep 30, 2021 | 151.63 Mn |
Hilltop Holdings 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=HTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HTH", "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=HTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();