HBT Financial (HBT) Retained Earnings (2018 - 2026)
HBT Financial (HBT) posted Retained Earnings of $412.78 million for Q3 2026, up 16.3% from $354.86 million a year earlier and up 5.7% from the prior quarter.
HBT Financial (HBT) Retained Earnings (2018 - 2026) Analysis & Trends
At the end of FY2025, HBT Financial's Retained Earnings came in at $367.16 million, up 15.9% from FY2024.
- Annual Retained Earnings has increased for six consecutive years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In prior years, HBT Financial's Retained Earnings was $316.76 million in FY2024 (+17.7%), $269.05 million in FY2023 (+16.0%), $232 million in FY2022 (+19.5%) and $194.13 million in FY2021 (+25.6%).
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2018.
- On a year-over-year basis, Retained Earnings has increased in each of the last 24 quarters, with growth averaging 16.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 12.7% in Q1 2023 to 25.6% in Q4 2021.
- According to Business Quant data, Retained Earnings for the three prior quarters was $390.53 million (Q2 2026), $371.09 million (Q1 2026) and $367.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 101.18 Bn |
| 10 | HBT Financial | 1.36 Bn | 682.67 Mn | - | 412.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 412.78 Mn |
| Jun 30, 2026 | 390.53 Mn |
| Mar 31, 2026 | 371.09 Mn |
| Dec 31, 2025 | 367.16 Mn |
| Sep 30, 2025 | 354.86 Mn |
| Jun 30, 2025 | 341.75 Mn |
| Mar 31, 2025 | 329.17 Mn |
| Dec 31, 2024 | 316.76 Mn |
| Sep 30, 2024 | 302.53 Mn |
| Jun 30, 2024 | 290.39 Mn |
| Mar 31, 2024 | 278.35 Mn |
| Dec 31, 2023 | 269.05 Mn |
| Sep 30, 2023 | 256.05 Mn |
| Jun 30, 2023 | 241.78 Mn |
| Mar 31, 2023 | 228.78 Mn |
| Dec 31, 2022 | 232.00 Mn |
| Sep 30, 2022 | 223.50 Mn |
| Jun 30, 2022 | 212.51 Mn |
| Mar 31, 2022 | 203.08 Mn |
| Dec 31, 2021 | 194.13 Mn |
HBT Financial 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=HBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "HBT", "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=HBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();