Jack Henry & Associates (JKHY) EV to EBITDA (2009 - 2026)
Jack Henry & Associates' EV to EBITDA came in at 11.36 for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 14.6% from 13.30 a year earlier and unchanged from the prior quarter.
Jack Henry & Associates (JKHY) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Jack Henry & Associates reported EV to EBITDA of 11.30, down 13.7% year-over-year; for FY2026 (ended Jun 30, 2026), it was 11.37, down 32.5% from FY2025.
- EV to EBITDA has declined in each of the last six fiscal years.
- Going back by fiscal year, EV to EBITDA was 16.84 in FY2025 (-3.8%), 17.50 in FY2024 (-3.6%), 18.16 in FY2023 (-9.4%) and 20.05 in FY2022 (-4.4%).
- The fiscal Q1 2027 figure represents the lowest quarterly EV to EBITDA since fiscal Q1 2015.
- Year-over-year, EV to EBITDA has declined for seven consecutive quarters, with an average decline of 14.8% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in fiscal Q3 2022 (growth of 10.2%), and the weakest in fiscal Q4 2026 (a decline of 32.5%).
- Business Quant data shows JKHY's EV to EBITDA at 11.37 (Q4 2026), 12.97 (Q3 2026) and 15.55 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Block | 51.14 Bn | 22.87 Bn | 3.24 Bn |
| 2 | PayPal Holdings | 49.62 Bn | 8.32 Bn | - |
| 3 | Fiserv | 33.93 Bn | 31.16 Bn | 2.76 Bn |
| 4 | Coinbase Global | 33.79 Bn | -5.85 Bn | - |
| 5 | Corpay | 29.77 Bn | 18.90 Bn | - |
| 6 | Global Payments | 24.30 Bn | -237.28 Mn | 2.01 Bn |
| 7 | Iren | 14.79 Bn | -105.20 Mn | 182.00 Mn |
| 8 | Guidewire Software | 12.98 Bn | 9.54 Bn | 269.68 Mn |
| 9 | Chime Financial | 12.86 Bn | 8.55 Bn | 646.07 Mn |
| 10 | Jack Henry & Associates | 12.37 Bn | 12.28 Bn | 325.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.36 |
| Jun 30, 2026 | 11.37 |
| Mar 31, 2026 | 12.97 |
| Dec 31, 2025 | 15.55 |
| Sep 30, 2025 | 13.30 |
| Jun 30, 2025 | 16.84 |
| Mar 31, 2025 | 17.85 |
| Dec 31, 2024 | 17.84 |
| Sep 30, 2024 | 18.10 |
| Jun 30, 2024 | 17.50 |
| Mar 31, 2024 | 18.43 |
| Dec 31, 2023 | 17.46 |
| Sep 30, 2023 | 16.46 |
| Jun 30, 2023 | 18.16 |
| Mar 31, 2023 | 16.93 |
| Dec 31, 2022 | 19.79 |
| Sep 30, 2022 | 20.07 |
| Jun 30, 2022 | 20.05 |
| Mar 31, 2022 | 22.24 |
| Dec 31, 2021 | 19.47 |
Jack Henry & Associates EV to EBITDA 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=ev-to-ebitda&ticker=JKHY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();