Korn Ferry (KFY) Capital Expenditures (2009 - 2026)
Korn Ferry's Capital Expenditures was $17.92 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 20.7% from $22.6 million a year earlier and down 27.8% from the prior quarter.
Korn Ferry (KFY) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Korn Ferry's Capital Expenditures was $85.22 million through Jul 31, 2026, up 14.3% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $89.9 million, up 43.9% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of 23.6% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $62.48 million in FY2025 (+13.3%), $55.15 million in FY2024 (-21.6%), $70.38 million in FY2023 (+42.5%) and $49.41 million in FY2022 (+58.7%).
- The fiscal Q1 2027 figure marks the lowest quarterly Capital Expenditures since fiscal Q3 2025.
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 37.0%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2026 (growth of 115.3%); the worst was fiscal Q1 2025 (a decline of 33.0%).
- Per Business Quant data, KFY's Capital Expenditures in the three fiscal quarters before Q1 2027 was $24.82 million (Q4 2026), $21.73 million (Q3 2026) and $20.75 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 148.01 Bn | 107.30 Bn | 6.13 Bn | 186.22 Mn |
| 2 | Cintas | 87.52 Bn | 86.61 Bn | 1.55 Bn | 107.53 Mn |
| 3 | Iron Mountain | 33.80 Bn | 32.99 Bn | 1.07 Bn | 588.19 Mn |
| 4 | APi | 17.46 Bn | 14.49 Bn | 703.00 Mn | 31.00 Mn |
| 5 | Rollins | 16.11 Bn | 15.66 Bn | 569.95 Mn | 6.43 Mn |
| 6 | UL Solutions | 15.11 Bn | 13.86 Bn | 417.00 Mn | 69.00 Mn |
| 7 | Gartner | 14.74 Bn | 8.43 Bn | 1.19 Bn | 19.92 Mn |
| 8 | Aramark | 14.61 Bn | 12.56 Bn | 430.34 Mn | 112.37 Mn |
| 9 | Rentokil Initial | 10.66 Bn | 4.17 Bn | - | - |
| 10 | Korn Ferry | 3.71 Bn | -21.63 Mn | 681.29 Mn | 17.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.92 Mn |
| Apr 30, 2026 | 24.82 Mn |
| Jan 31, 2026 | 21.73 Mn |
| Oct 31, 2025 | 20.75 Mn |
| Jul 31, 2025 | 22.60 Mn |
| Apr 30, 2025 | 20.29 Mn |
| Jan 31, 2025 | 17.38 Mn |
| Oct 31, 2024 | 14.31 Mn |
| Jul 31, 2024 | 10.50 Mn |
| Apr 30, 2024 | 11.86 Mn |
| Jan 31, 2024 | 11.75 Mn |
| Oct 31, 2023 | 15.88 Mn |
| Jul 31, 2023 | 15.66 Mn |
| Apr 30, 2023 | 16.33 Mn |
| Jan 31, 2023 | 17.18 Mn |
| Oct 31, 2022 | 20.22 Mn |
| Jul 31, 2022 | 16.65 Mn |
| Apr 30, 2022 | 16.75 Mn |
| Jan 31, 2022 | 13.67 Mn |
| Oct 31, 2021 | 9.98 Mn |
Korn Ferry Capital Expenditures 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=capital-expenditures&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "KFY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();