Hills Bancorporation (HBIA) Tax Provisions (2010 - 2026)
Hills Bancorporation (HBIA) posted Tax Provisions of $7.18 million for Q2 2026, up 44.1% from $4.99 million a year earlier and up 29.0% from the prior quarter.
Hills Bancorporation (HBIA) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Hills Bancorporation was $19.62 million, up 35.9% year-over-year; for FY2025, it came in at $15.19 million, up 20.6% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Hills Bancorporation's Tax Provisions was $12.6 million in FY2024 (+22.3%), $10.3 million in FY2023 (-21.5%), $13.11 million in FY2022 (-6.4%) and $14.01 million in FY2021 (+24.2%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2017.
- On a year-over-year basis, Tax Provisions has increased in each of the last nine quarters, with growth averaging 39.9% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2024, with growth of 74.2%; the weakest was Q3 2023, with a decline of 58.5%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $5.57 million (Q1 2026), $3.62 million (Q4 2025) and $3.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 1.40 Bn |
| 10 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - | 7.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.18 Mn |
| Mar 31, 2026 | 5.57 Mn |
| Dec 31, 2025 | 3.62 Mn |
| Sep 30, 2025 | 3.25 Mn |
| Jun 30, 2025 | 4.99 Mn |
| Mar 31, 2025 | 3.33 Mn |
| Dec 31, 2024 | 2.92 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Jun 30, 2024 | 3.35 Mn |
| Mar 31, 2024 | 3.13 Mn |
| Dec 31, 2023 | 1.91 Mn |
| Sep 30, 2023 | 1.84 Mn |
| Jun 30, 2023 | 3.21 Mn |
| Mar 31, 2023 | 3.34 Mn |
| Dec 31, 2022 | 2.62 Mn |
| Sep 30, 2022 | 4.43 Mn |
| Jun 30, 2022 | 3.24 Mn |
| Mar 31, 2022 | 2.83 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 3.86 Mn |
Hills Bancorporation 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=HBIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();