Hills Bancorporation (HBIA) Retained Earnings (2010 - 2026)
Hills Bancorporation (HBIA) reported Retained Earnings of $666.22 million for Q2 2026, up 10.7% from $601.65 million a year earlier and up 4.1% from the prior quarter.
Hills Bancorporation (HBIA) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Hills Bancorporation posted Retained Earnings of $629.07 million, up 8.7% from FY2024.
- Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- By year, Retained Earnings came in at $578.88 million in FY2024 (+6.9%), $541.33 million in FY2023 (+5.6%), $512.84 million in FY2022 (+8.1%) and $474.39 million in FY2021 (+7.9%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 57 quarters, with growth averaging 8.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 5.4% in Q1 2024 to 10.7% in Q2 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $640.21 million (Q1 2026), $629.07 million (Q4 2025) and $614.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - | 666.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 666.22 Mn |
| Mar 31, 2026 | 640.21 Mn |
| Dec 31, 2025 | 629.07 Mn |
| Sep 30, 2025 | 614.56 Mn |
| Jun 30, 2025 | 601.65 Mn |
| Mar 31, 2025 | 583.00 Mn |
| Dec 31, 2024 | 578.88 Mn |
| Sep 30, 2024 | 567.86 Mn |
| Jun 30, 2024 | 555.69 Mn |
| Mar 31, 2024 | 543.38 Mn |
| Dec 31, 2023 | 541.33 Mn |
| Sep 30, 2023 | 534.42 Mn |
| Jun 30, 2023 | 527.18 Mn |
| Mar 31, 2023 | 515.62 Mn |
| Dec 31, 2022 | 512.84 Mn |
| Sep 30, 2022 | 500.81 Mn |
| Jun 30, 2022 | 487.07 Mn |
| Mar 31, 2022 | 475.74 Mn |
| Dec 31, 2021 | 474.39 Mn |
| Sep 30, 2021 | 468.24 Mn |
Hills Bancorporation Retained Earnings 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=retained-earnings&ticker=HBIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();