Jack Henry & Associates (JKHY) Change in Accured Expenses (2009 - 2026)
Jack Henry & Associates (JKHY) recorded Change in Accured Expenses of $25.46 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 25.3% from $20.32 million a year earlier and up 61.9% from the prior quarter.
Jack Henry & Associates (JKHY) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Jack Henry & Associates reported Change in Accured Expenses of $6.32 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -2.1% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at -$3.12 million in FY2025, $37.29 million in FY2024, -$20.45 million in FY2023 and $1.19 million in FY2022 (-83.1%).
- The fiscal Q4 2026 figure is the highest quarterly Change in Accured Expenses since fiscal Q2 2024.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with an average decline of 24.3%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 32.0% in fiscal Q4 2022, against a decline of 89.0% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15.73 million (Q3 2026), $1.7 million (Q2 2026) and -$36.57 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - | - |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - | - |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn | - |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn | 31.16 Mn |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - | 1.26 Bn |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn | 140.00 Mn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn | -70.94 Mn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn | -4.53 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn | 29.77 Mn |
| 10 | Jack Henry & Associates | 9.99 Bn | 9.90 Bn | 273.85 Mn | 25.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.46 Mn |
| Mar 31, 2026 | 15.73 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | -36.57 Mn |
| Jun 30, 2025 | 20.32 Mn |
| Mar 31, 2025 | -3.99 Mn |
| Dec 31, 2024 | 3.62 Mn |
| Sep 30, 2024 | -23.07 Mn |
| Jun 30, 2024 | 17.03 Mn |
| Mar 31, 2024 | 4.80 Mn |
| Dec 31, 2023 | 32.75 Mn |
| Sep 30, 2023 | -17.29 Mn |
| Jun 30, 2023 | 27.87 Mn |
| Mar 31, 2023 | -775,000.00 |
| Dec 31, 2022 | -2.28 Mn |
| Sep 30, 2022 | -45.27 Mn |
| Jun 30, 2022 | 34.59 Mn |
| Mar 31, 2022 | 2.41 Mn |
| Dec 31, 2021 | 1.42 Mn |
| Sep 30, 2021 | -37.23 Mn |
Jack Henry & Associates Change in Accured 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=change-in-accured-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();