HomeTrust Bancshares (HTB) EV to EBITDA (2012 - 2026)
HomeTrust Bancshares' EV to EBITDA came in at 3.36 for Q2 2026, up 52.2% from 2.21 a year earlier and up 41.3% from the prior quarter.
HomeTrust Bancshares (HTB) EV to EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, HomeTrust Bancshares reported EV to EBITDA of -2.71; for FY2025, it came in at 2.33, up 42.9% from FY2024.
- Going back by year, EV to EBITDA was 1.63 in FY2024 (+52.4%), 1.07 in FY2023, 4.35 in FY2022 (-47.9%) and 8.34 in FY2021 (+498.7%).
- Business Quant data shows HTB's EV to EBITDA at 2.38 (Q1 2026), 2.33 (Q4 2025) and 2.55 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | HomeTrust Bancshares | 746.84 Mn | -450.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.85 |
| Jun 30, 2026 | 3.25 |
| Mar 31, 2026 | 2.32 |
| Dec 31, 2025 | 2.26 |
| Sep 30, 2025 | 2.14 |
| Jun 30, 2025 | 1.85 |
| Mar 31, 2025 | 1.55 |
| Dec 31, 2024 | 1.80 |
| Mar 31, 2024 | 0.49 |
| Sep 30, 2023 | 0.17 |
| Mar 31, 2023 | 1.08 |
| Dec 31, 2022 | 2.83 |
| Sep 30, 2022 | 3.88 |
| Jun 30, 2022 | 4.20 |
| Mar 31, 2022 | 8.17 |
| Dec 31, 2021 | 8.83 |
| Sep 30, 2021 | 7.49 |
| Jun 30, 2021 | 7.98 |
| Mar 31, 2021 | 3.09 |
| Dec 31, 2020 | 0.84 |
HomeTrust Bancshares EV to 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=ev-to-ebitda&ticker=HTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "HTB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=HTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();