Jack Henry & Associates (JKHY) Tax Provisions (2009 - 2026)
Jack Henry & Associates (JKHY) recorded Tax Provisions of $28.51 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 11.9% from $32.35 million a year earlier and down 20.0% from the prior quarter.
Jack Henry & Associates (JKHY) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Jack Henry & Associates reported Tax Provisions of $150.01 million, up 15.1% from FY2025.
- Annual Tax Provisions has increased for three straight fiscal years, with a five-year compound annual growth rate of 11.7% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $130.29 million in FY2025 (+12.1%), $116.2 million in FY2024 (+7.7%), $107.93 million in FY2023 (-1.3%) and $109.35 million in FY2022 (+26.8%).
- The fiscal Q4 2026 figure is the lowest quarterly Tax Provisions since fiscal Q3 2024.
- On a year-over-year basis, Tax Provisions rose in seven of the last eight quarters, with growth averaging 13.6%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 36.9% in fiscal Q2 2022, against a decline of 17.3% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $35.65 million (Q3 2026), $39.53 million (Q2 2026) and $46.33 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.73 Bn | 23.47 Bn | 3.24 Bn | 48.40 Mn |
| 2 | PayPal Holdings | 49.20 Bn | 7.90 Bn | - | 301.00 Mn |
| 3 | Coinbase Global | 34.98 Bn | -4.66 Bn | - | 105.21 Mn |
| 4 | Fiserv | 33.69 Bn | 30.91 Bn | 2.76 Bn | 137.00 Mn |
| 5 | Corpay | 29.61 Bn | 18.75 Bn | - | 120.03 Mn |
| 6 | Global Payments | 26.89 Bn | 2.34 Bn | 2.01 Bn | -66.75 Mn |
| 7 | Iren | 16.06 Bn | 1.16 Bn | 182.00 Mn | 2.00 Mn |
| 8 | Guidewire Software | 12.75 Bn | 9.31 Bn | 269.68 Mn | 13.91 Mn |
| 9 | Chime Financial | 12.47 Bn | 8.16 Bn | 646.07 Mn | 250,000.00 |
| 10 | Jack Henry & Associates | 12.20 Bn | 12.11 Bn | 325.50 Mn | 50.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.22 Mn |
| Jun 30, 2026 | 28.51 Mn |
| Mar 31, 2026 | 35.65 Mn |
| Dec 31, 2025 | 39.53 Mn |
| Sep 30, 2025 | 46.33 Mn |
| Jun 30, 2025 | 32.35 Mn |
| Mar 31, 2025 | 30.80 Mn |
| Dec 31, 2024 | 29.54 Mn |
| Sep 30, 2024 | 37.61 Mn |
| Jun 30, 2024 | 29.31 Mn |
| Mar 31, 2024 | 27.07 Mn |
| Dec 31, 2023 | 28.26 Mn |
| Sep 30, 2023 | 31.57 Mn |
| Jun 30, 2023 | 26.18 Mn |
| Mar 31, 2023 | 24.57 Mn |
| Dec 31, 2022 | 24.44 Mn |
| Sep 30, 2022 | 32.75 Mn |
| Jun 30, 2022 | 22.37 Mn |
| Mar 31, 2022 | 26.19 Mn |
| Dec 31, 2021 | 29.55 Mn |
Jack Henry & Associates Tax Provisions 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=tax-provisions&ticker=JKHY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JKHY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();