Jack Henry & Associates (JKHY) Gross Margin (2009 - 2026)
Jack Henry & Associates (JKHY) posted Gross Margin of 42.52% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.60 percentage points from 44.12% a year earlier and down 0.28 percentage points from the prior quarter.
Jack Henry & Associates (JKHY) Gross Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Jack Henry & Associates' Gross Margin came in at 43.65%, up 0.94 percentage points from FY2025.
- Annual Gross Margin has increased for three consecutive fiscal years, with a five-year change of +4.13 percentage points (FY2021 to FY2026).
- In prior fiscal years, Jack Henry & Associates' Gross Margin was 42.71% in FY2025 (+1.37 pp), 41.35% in FY2024 (+0.02 pp), 41.33% in FY2023 (-0.58 pp) and 41.91% in FY2022 (+2.39 pp).
- The fiscal Q4 2026 figure stands as the lowest quarterly Gross Margin since fiscal Q3 2025.
- On a year-over-year basis, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +1.17 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q2 2022, with a gain of 3.77 percentage points; the weakest was fiscal Q2 2023, with a drop of 3.01 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 42.80% (Q3 2026), 43.33% (Q2 2026) and 45.94% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | - |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | - |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 47.84% |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 75.71% |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | - |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 54.74% |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 61.04% |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 87.70% |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 65.60% |
| 10 | Jack Henry & Associates | 10.36 Bn | 10.27 Bn | 273.85 Mn | 42.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.52% |
| Mar 31, 2026 | 42.80% |
| Dec 31, 2025 | 43.33% |
| Sep 30, 2025 | 45.94% |
| Jun 30, 2025 | 44.12% |
| Mar 31, 2025 | 41.79% |
| Dec 31, 2024 | 42.00% |
| Sep 30, 2024 | 42.85% |
| Jun 30, 2024 | 41.55% |
| Mar 31, 2024 | 39.06% |
| Dec 31, 2023 | 41.18% |
| Sep 30, 2023 | 43.47% |
| Jun 30, 2023 | 42.23% |
| Mar 31, 2023 | 39.56% |
| Dec 31, 2022 | 39.72% |
| Sep 30, 2022 | 43.64% |
| Jun 30, 2022 | 40.58% |
| Mar 31, 2022 | 40.97% |
| Dec 31, 2021 | 42.74% |
| Sep 30, 2021 | 43.32% |
Jack Henry & Associates Gross 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=gross-margin&ticker=JKHY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "JKHY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();