Jack Henry & Associates (JKHY) Operating Expenses (2009 - 2026)
Jack Henry & Associates' Operating Expenses was $507.25 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.3% from $459.67 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Jack Henry & Associates (JKHY) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Jack Henry & Associates came in at $1.91 billion, up 5.7% from FY2025.
- Operating Expenses has now increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.81 billion in FY2025 (+4.7%), $1.73 billion in FY2024 (+8.1%), $1.6 billion in FY2023 (+8.8%) and $1.47 billion in FY2022 (+8.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for 40 straight quarters, with growth averaging 5.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.1% in fiscal Q2 2026 to 12.9% in fiscal Q1 2024.
- Per Business Quant data, JKHY's Operating Expenses in the three fiscal quarters before Q4 2026 was $481.2 million (Q3 2026), $460.19 million (Q2 2026) and $460.67 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - | 7.26 Bn |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Jack Henry & Associates | 10.04 Bn | 9.95 Bn | 273.85 Mn | 507.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 507.25 Mn |
| Mar 31, 2026 | 481.20 Mn |
| Dec 31, 2025 | 460.19 Mn |
| Sep 30, 2025 | 460.67 Mn |
| Jun 30, 2025 | 459.67 Mn |
| Mar 31, 2025 | 446.35 Mn |
| Dec 31, 2024 | 450.85 Mn |
| Sep 30, 2024 | 449.71 Mn |
| Jun 30, 2024 | 434.29 Mn |
| Mar 31, 2024 | 426.46 Mn |
| Dec 31, 2023 | 426.73 Mn |
| Sep 30, 2023 | 438.67 Mn |
| Jun 30, 2023 | 410.44 Mn |
| Mar 31, 2023 | 400.16 Mn |
| Dec 31, 2022 | 397.94 Mn |
| Sep 30, 2022 | 388.48 Mn |
| Jun 30, 2022 | 378.90 Mn |
| Mar 31, 2022 | 366.67 Mn |
| Dec 31, 2021 | 368.23 Mn |
| Sep 30, 2021 | 354.46 Mn |
API Access
Jack Henry & Associates Operating 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=operating-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();