Hills Bancorporation (HBIA) EBITDA Margin (2011 - 2026)
Hills Bancorporation (HBIA) reported EBITDA Margin of 648.24% for Q2 2026, up 57.93 percentage points from 590.32% a year earlier but down 11.92 percentage points from the prior quarter.
Hills Bancorporation (HBIA) EBITDA Margin (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hills Bancorporation's EBITDA Margin came in at 574.78%, up 27.19 percentage points year-over-year; for FY2025, it was 534.50%, up 2.06 percentage points from FY2024.
- EBITDA Margin has increased for three consecutive years, with a five-year change of +143.49 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 532.44% in FY2024 (+125.93 pp), 406.51% in FY2023 (+87.07 pp), 319.43% in FY2022 (-7.79 pp) and 327.22% in FY2021 (-63.78 pp).
- Five-year quarterly EBITDA Margin spans a low of 182.34% in Q4 2021 and a high of 660.16% in Q1 2026.
- Year over year, EBITDA Margin gained in five of the last eight quarters, with an average year-over-year change of +52.26 percentage points.
- The high point for year-over-year EBITDA Margin in five years was Q4 2022 (a gain of 160.60 percentage points); the low point was Q1 2022 (a drop of 174.60 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 660.16% (Q1 2026), 496.43% (Q4 2025) and 498.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | Hills Bancorporation | 815.34 Mn | 627.84 Mn | - | 648.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 648.24% |
| Mar 31, 2026 | 660.16% |
| Dec 31, 2025 | 496.43% |
| Sep 30, 2025 | 498.65% |
| Jun 30, 2025 | 590.32% |
| Mar 31, 2025 | 555.07% |
| Dec 31, 2024 | 502.16% |
| Sep 30, 2024 | 541.16% |
| Jun 30, 2024 | 525.31% |
| Mar 31, 2024 | 565.01% |
| Dec 31, 2023 | 411.00% |
| Sep 30, 2023 | 384.06% |
| Jun 30, 2023 | 418.45% |
| Mar 31, 2023 | 412.60% |
| Dec 31, 2022 | 342.94% |
| Sep 30, 2022 | 373.96% |
| Jun 30, 2022 | 282.70% |
| Mar 31, 2022 | 280.25% |
| Dec 31, 2021 | 182.34% |
| Sep 30, 2021 | 329.19% |
Hills Bancorporation EBITDA Margin 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=ebitda-margin&ticker=HBIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=HBIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();