Korn Ferry (KFY) Property, Plant & Equipment (Net) (2010 - 2026)
Korn Ferry's Property, Plant & Equipment (Net) was $193.68 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.9% from $179.49 million a year earlier and up 1.1% from the prior quarter.
Korn Ferry (KFY) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Property, Plant & Equipment (Net) at Korn Ferry came in at $191.53 million, up 10.3% from FY2025.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $173.61 million in FY2025 (+7.3%), $161.85 million in FY2024 (unchanged), $161.88 million in FY2023 (+17.2%) and $138.17 million in FY2022 (+4.9%).
- The fiscal Q1 2027 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2010.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for six straight quarters, with growth averaging 7.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q2 2023 (growth of 21.0%); the worst was fiscal Q2 2022 (a decline of 7.0%).
- Per Business Quant data, KFY's Property, Plant & Equipment (Net) in the three fiscal quarters before Q1 2027 was $191.53 million (Q4 2026), $182.57 million (Q3 2026) and $176.51 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 1.77 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 111.03 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 766.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 199.25 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 1.74 Bn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | 443.00 Mn |
| 10 | Korn Ferry | 3.98 Bn | 254.77 Mn | 681.29 Mn | 193.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 193.68 Mn |
| Apr 30, 2026 | 191.53 Mn |
| Jan 31, 2026 | 182.57 Mn |
| Oct 31, 2025 | 176.51 Mn |
| Jul 31, 2025 | 179.49 Mn |
| Apr 30, 2025 | 173.61 Mn |
| Jan 31, 2025 | 162.77 Mn |
| Oct 31, 2024 | 160.81 Mn |
| Jul 31, 2024 | 159.52 Mn |
| Apr 30, 2024 | 161.85 Mn |
| Jan 31, 2024 | 163.60 Mn |
| Oct 31, 2023 | 165.82 Mn |
| Jul 31, 2023 | 166.28 Mn |
| Apr 30, 2023 | 161.88 Mn |
| Jan 31, 2023 | 154.98 Mn |
| Oct 31, 2022 | 153.04 Mn |
| Jul 31, 2022 | 147.12 Mn |
| Apr 30, 2022 | 138.17 Mn |
| Jan 31, 2022 | 131.20 Mn |
| Oct 31, 2021 | 126.50 Mn |
Korn Ferry Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();