Hills Bancorporation (HBIA) EBITDA (2011 - 2026)
Hills Bancorporation's EBITDA came in at $52.61 million for Q2 2026, up 16.4% from $45.18 million a year earlier and up 13.1% from the prior quarter.
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Analysis
Hills Bancorporation (HBIA) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hills Bancorporation reported EBITDA of $176.23 million, up 10.2% year-over-year; for FY2025, it came in at $161.71 million, up 7.8% from FY2024.
- EBITDA has increased in each of the last three years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $150.06 million in FY2024 (+39.2%), $107.82 million in FY2023 (+35.4%), $79.64 million in FY2022 (-3.8%) and $82.77 million in FY2021 (+3.5%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2011.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 18.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2022 (growth of 67.1%), and the weakest in Q1 2022 (a decline of 31.8%).
- Business Quant data shows HBIA's EBITDA at $46.5 million (Q1 2026), $39.02 million (Q4 2025) and $38.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - | 52.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.61 Mn |
| Mar 31, 2026 | 46.50 Mn |
| Dec 31, 2025 | 39.02 Mn |
| Sep 30, 2025 | 38.10 Mn |
| Jun 30, 2025 | 45.18 Mn |
| Mar 31, 2025 | 39.41 Mn |
| Dec 31, 2024 | 36.99 Mn |
| Sep 30, 2024 | 38.34 Mn |
| Jun 30, 2024 | 37.84 Mn |
| Mar 31, 2024 | 36.90 Mn |
| Dec 31, 2023 | 27.96 Mn |
| Sep 30, 2023 | 25.59 Mn |
| Jun 30, 2023 | 28.27 Mn |
| Mar 31, 2023 | 26.01 Mn |
| Dec 31, 2022 | 21.08 Mn |
| Sep 30, 2022 | 22.97 Mn |
| Jun 30, 2022 | 18.36 Mn |
| Mar 31, 2022 | 17.23 Mn |
| Dec 31, 2021 | 12.62 Mn |
| Sep 30, 2021 | 21.87 Mn |
API Access
Hills Bancorporation 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=HBIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "HBIA", "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=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();