Hills Bancorporation (HBIA) EBIT (2010 - 2026)
Hills Bancorporation (HBIA) recorded EBIT of $51.89 million in Q2 2026, up 16.4% from $44.58 million a year earlier and up 12.5% from the prior quarter.
Powered by 
Analysis
Hills Bancorporation (HBIA) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Hills Bancorporation's EBIT came in at $173.89 million as of Jun 30, 2026, up 10.4% year-over-year; for FY2025, it was $159.29 million, up 7.8% from FY2024.
- Annual EBIT has increased for three straight years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $147.82 million in FY2024 (+40.1%), $105.51 million in FY2023 (+37.1%), $76.95 million in FY2022 (-3.5%) and $79.72 million in FY2021 (+3.7%).
- The Q2 2026 figure is the highest quarterly EBIT in data going back to Q2 2010.
- On a year-over-year basis, EBIT has increased for three consecutive quarters, with growth averaging 18.7% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 72.3% in Q4 2022, against a decline of 32.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $46.11 million (Q1 2026), $38.41 million (Q4 2025) and $37.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 19.01 Bn |
| 10 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - | 51.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.89 Mn |
| Mar 31, 2026 | 46.11 Mn |
| Dec 31, 2025 | 38.41 Mn |
| Sep 30, 2025 | 37.49 Mn |
| Jun 30, 2025 | 44.58 Mn |
| Mar 31, 2025 | 38.81 Mn |
| Dec 31, 2024 | 36.39 Mn |
| Sep 30, 2024 | 37.78 Mn |
| Jun 30, 2024 | 37.37 Mn |
| Mar 31, 2024 | 36.28 Mn |
| Dec 31, 2023 | 27.49 Mn |
| Sep 30, 2023 | 24.98 Mn |
| Jun 30, 2023 | 27.65 Mn |
| Mar 31, 2023 | 25.39 Mn |
| Dec 31, 2022 | 20.49 Mn |
| Sep 30, 2022 | 22.27 Mn |
| Jun 30, 2022 | 17.66 Mn |
| Mar 31, 2022 | 16.53 Mn |
| Dec 31, 2021 | 11.89 Mn |
| Sep 30, 2021 | 21.16 Mn |
API Access
Hills Bancorporation EBIT 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=ebit&ticker=HBIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();