Jack Henry & Associates (JKHY) Accumulated Expenses (2010 - 2026)
Jack Henry & Associates (JKHY) reported Accumulated Expenses of $226.54 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.2% from $207.43 million a year earlier and up 17.9% from the prior quarter.
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Analysis
Jack Henry & Associates (JKHY) Accumulated Expenses (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Jack Henry & Associates' Accumulated Expenses record includes 65 quarters.
- Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $207.43 million in FY2025 (+3.3%), $200.77 million in FY2024 (+16.3%), $172.63 million in FY2023 (-10.1%) and $192.04 million in FY2022 (+5.2%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- Year over year, Accumulated Expenses gained in six of the last eight quarters, with growth averaging 3.7%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2024 (growth of 20.2%); the low point was fiscal Q4 2023 (a decline of 10.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $192.21 million (Q3 2026), $174.4 million (Q2 2026) and $172.95 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn |
| 10 | Jack Henry & Associates | 9.99 Bn | 9.90 Bn | 273.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.54 Mn |
| Mar 31, 2026 | 192.21 Mn |
| Dec 31, 2025 | 174.40 Mn |
| Sep 30, 2025 | 172.95 Mn |
| Jun 30, 2025 | 207.43 Mn |
| Mar 31, 2025 | 184.33 Mn |
| Dec 31, 2024 | 186.10 Mn |
| Sep 30, 2024 | 180.20 Mn |
| Jun 30, 2024 | 200.77 Mn |
| Mar 31, 2024 | 180.32 Mn |
| Dec 31, 2023 | 174.08 Mn |
| Sep 30, 2023 | 157.95 Mn |
| Jun 30, 2023 | 172.63 Mn |
| Mar 31, 2023 | 150.01 Mn |
| Dec 31, 2022 | 147.91 Mn |
| Sep 30, 2022 | 147.68 Mn |
| Jun 30, 2022 | 192.04 Mn |
| Mar 31, 2022 | 155.48 Mn |
| Dec 31, 2021 | 150.36 Mn |
| Sep 30, 2021 | 147.07 Mn |
API Access
Jack Henry & Associates Accumulated 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=accumulated-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();