Hills Bancorporation (HBIA) Enterprise Value (2011 - 2026)
Hills Bancorporation (HBIA) posted Enterprise Value of $734 million for Q2 2026, up 20.1% from $611.24 million a year earlier and up 8.8% from the prior quarter.
Hills Bancorporation (HBIA) Enterprise Value (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Hills Bancorporation was $588.61 million, up 79.3% year-over-year; for FY2025, it was $678.1 million, up 32.1% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 210.6% (FY2020 to FY2025).
- In prior years, Hills Bancorporation's Enterprise Value was $513.43 million in FY2024 (-19.1%), $634.83 million in FY2023 (+2.4%), $619.84 million in FY2022 and -$151.77 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q2 2011.
- On a year-over-year basis, Enterprise Value has increased in each of the last six quarters, with growth averaging 13.4% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q2 2023, with growth of 67.9%; the weakest was Q4 2024, with a decline of 19.1%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $674.41 million (Q1 2026), $678.1 million (Q4 2025) and $658.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 734.00 Mn |
| Mar 31, 2026 | 674.41 Mn |
| Dec 31, 2025 | 678.10 Mn |
| Sep 30, 2025 | 658.66 Mn |
| Jun 30, 2025 | 611.24 Mn |
| Mar 31, 2025 | 552.53 Mn |
| Dec 31, 2024 | 513.43 Mn |
| Sep 30, 2024 | 558.50 Mn |
| Jun 30, 2024 | 555.65 Mn |
| Mar 31, 2024 | 505.86 Mn |
| Dec 31, 2023 | 634.83 Mn |
| Sep 30, 2023 | 485.72 Mn |
| Jun 30, 2023 | 573.36 Mn |
| Mar 31, 2023 | 478.17 Mn |
| Dec 31, 2022 | 619.84 Mn |
| Sep 30, 2022 | 415.43 Mn |
| Jun 30, 2022 | 341.55 Mn |
| Mar 31, 2022 | -69.62 Mn |
| Dec 31, 2021 | -151.77 Mn |
| Sep 30, 2021 | -250.50 Mn |
Hills Bancorporation Enterprise Value 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=enterprise-value&ticker=HBIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();