Home Bancorp (HBCP) EBITDA (2010 - 2026)
Home Bancorp (HBCP) posted EBITDA of $28.72 million for Q2 2026, down 5.1% from $30.26 million a year earlier but up 0.9% from the prior quarter.
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Analysis
Home Bancorp (HBCP) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Home Bancorp was $118.7 million, down 0.2% year-over-year; for FY2025, it was $121.85 million, up 7.7% from FY2024.
- Annual EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- In prior years, Home Bancorp's EBITDA was $113.19 million in FY2024 (+17.1%), $96.69 million in FY2023 (+79.4%), $53.88 million in FY2022 (-22.4%) and $69.44 million in FY2021 (+51.1%).
- Quarterly EBITDA has run from a low of $7.26 million in Q1 2022 to a high of $31.48 million in Q3 2025 over five years.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 197.1%; the weakest was Q1 2022, with a decline of 58.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $28.46 million (Q1 2026), $30.03 million (Q4 2025) and $31.48 million (Q3 2025).
Peer Set
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 | Home Bancorp | 523.15 Mn | 523.15 Mn | - | 28.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.72 Mn |
| Mar 31, 2026 | 28.46 Mn |
| Dec 31, 2025 | 30.03 Mn |
| Sep 30, 2025 | 31.48 Mn |
| Jun 30, 2025 | 30.26 Mn |
| Mar 31, 2025 | 30.07 Mn |
| Dec 31, 2024 | 29.03 Mn |
| Sep 30, 2024 | 29.59 Mn |
| Jun 30, 2024 | 27.01 Mn |
| Mar 31, 2024 | 27.55 Mn |
| Dec 31, 2023 | 26.52 Mn |
| Sep 30, 2023 | 25.67 Mn |
| Jun 30, 2023 | 22.93 Mn |
| Mar 31, 2023 | 21.57 Mn |
| Dec 31, 2022 | 17.69 Mn |
| Sep 30, 2022 | 16.22 Mn |
| Jun 30, 2022 | 12.71 Mn |
| Mar 31, 2022 | 7.26 Mn |
| Dec 31, 2021 | 14.74 Mn |
| Sep 30, 2021 | 20.53 Mn |
API Access
Home Bancorp 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=HBCP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HBCP", "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=HBCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();