HBT Financial (HBT) Tax Provisions (2018 - 2026)
HBT Financial (HBT) posted Tax Provisions of $9.93 million for Q2 2026, up 39.3% from $7.13 million a year earlier and up 157.9% from the prior quarter.
HBT Financial (HBT) Tax Provisions (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at HBT Financial was $27.72 million, up 2.6% year-over-year; for FY2025, it was $27.5 million, up 7.4% from FY2024.
- Annual Tax Provisions has increased for three consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In prior years, HBT Financial's Tax Provisions was $25.6 million in FY2024 (+12.6%), $22.74 million in FY2023 (+15.2%), $19.73 million in FY2022 (-2.7%) and $20.29 million in FY2021 (+59.4%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions in data going back to Q3 2018.
- On a year-over-year basis, Tax Provisions increased in five of the last eight quarters, with growth averaging 4.6%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2024, with growth of 80.0%; the weakest was Q1 2026, with a decline of 40.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $3.85 million (Q1 2026), $6.98 million (Q4 2025) and $6.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | HBT Financial | 1.29 Bn | 588.95 Mn | - | 9.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.93 Mn |
| Mar 31, 2026 | 3.85 Mn |
| Dec 31, 2025 | 6.98 Mn |
| Sep 30, 2025 | 6.97 Mn |
| Jun 30, 2025 | 7.13 Mn |
| Mar 31, 2025 | 6.43 Mn |
| Dec 31, 2024 | 7.13 Mn |
| Sep 30, 2024 | 6.33 Mn |
| Jun 30, 2024 | 6.88 Mn |
| Mar 31, 2024 | 5.26 Mn |
| Dec 31, 2023 | 6.34 Mn |
| Sep 30, 2023 | 6.90 Mn |
| Jun 30, 2023 | 6.57 Mn |
| Mar 31, 2023 | 2.92 Mn |
| Dec 31, 2022 | 4.48 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 4.85 Mn |
| Mar 31, 2022 | 4.79 Mn |
| Dec 31, 2021 | 5.08 Mn |
| Sep 30, 2021 | 4.89 Mn |
HBT Financial Tax Provisions 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=tax-provisions&ticker=HBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=HBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();