Jack Henry & Associates (JKHY) Interest Expenses (2009 - 2026)
Jack Henry & Associates' Interest Expenses came in at $1.99 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.6% from $2.1 million a year earlier but up 44.4% from the prior quarter.
Jack Henry & Associates (JKHY) Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Jack Henry & Associates' Interest Expenses was $5.39 million, down 48.4% from FY2025.
- Interest Expenses carries a five-year compound annual growth rate of 36.3% (FY2021 to FY2026).
- Going back by fiscal year, Interest Expenses was $10.44 million in FY2025 (-36.3%), $16.38 million in FY2024 (+8.7%), $15.07 million in FY2023 (+532.3%) and $2.38 million in FY2022 (+108.4%).
- The five-year range for quarterly Interest Expenses is $248,000 (fiscal Q1 2022) to $5.42 million (fiscal Q4 2023).
- Year-over-year, Interest Expenses has declined for ten consecutive quarters, with an average decline of 41.0% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q2 2023 (growth of 662.0%), and the weakest in fiscal Q1 2026 (a decline of 68.6%).
- Business Quant data shows JKHY's Interest Expenses at $1.38 million (Q3 2026), $1.14 million (Q2 2026) and $886,000 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 22.52 Mn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | - |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 24.47 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 114.72 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 376.00 Mn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 277.54 Mn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | - |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 3.36 Mn |
| 10 | Jack Henry & Associates | 10.04 Bn | 9.95 Bn | 273.85 Mn | 1.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 1.38 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 886,000.00 |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 2.78 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 3.89 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 3.87 Mn |
| Sep 30, 2023 | 4.20 Mn |
| Jun 30, 2023 | 5.42 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 3.41 Mn |
| Sep 30, 2022 | 1.58 Mn |
| Jun 30, 2022 | 997,000.00 |
| Mar 31, 2022 | 691,000.00 |
| Dec 31, 2021 | 447,000.00 |
| Sep 30, 2021 | 248,000.00 |
Jack Henry & Associates Interest Expenses 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=interest-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();