Korn Ferry (KFY) Shares Outstanding (Diluted) (2009 - 2026)
Korn Ferry (KFY) reported Shares Outstanding (Diluted) of 51.35 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.9% from 52.37 million a year earlier and down 2.2% from the prior quarter.
Korn Ferry (KFY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Korn Ferry posted Shares Outstanding (Diluted) of 52.52 million, down 0.5% from FY2025.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 52.81 million in FY2025 (+2.7%), 51.43 million in FY2024 (-0.9%), 51.88 million in FY2023 (-2.8%) and 53.4 million in FY2022 (unchanged).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since fiscal Q3 2024.
- Year over year, Shares Outstanding (Diluted) gained in four of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q1 2025 (growth of 3.3%); the low point was fiscal Q3 2023 (a decline of 3.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 52.52 million (Q4 2026), 52.42 million (Q3 2026) and 52.52 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn | 404.29 Mn |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn | 299.85 Mn |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn | 481.39 Mn |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn | 437.00 Mn |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn | 66.58 Mn |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn | 268.54 Mn |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | 507.00 Mn |
| 10 | Korn Ferry | 3.85 Bn | 118.85 Mn | 681.29 Mn | 51.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 51.35 Mn |
| Apr 30, 2026 | 52.52 Mn |
| Jan 31, 2026 | 52.42 Mn |
| Oct 31, 2025 | 52.52 Mn |
| Jul 31, 2025 | 52.37 Mn |
| Apr 30, 2025 | 52.81 Mn |
| Jan 31, 2025 | 52.36 Mn |
| Oct 31, 2024 | 52.75 Mn |
| Jul 31, 2024 | 52.75 Mn |
| Apr 30, 2024 | 51.43 Mn |
| Jan 31, 2024 | 51.34 Mn |
| Oct 31, 2023 | 51.33 Mn |
| Jul 31, 2023 | 51.08 Mn |
| Apr 30, 2023 | 51.88 Mn |
| Jan 31, 2023 | 51.43 Mn |
| Oct 31, 2022 | 52.01 Mn |
| Jul 31, 2022 | 52.11 Mn |
| Apr 30, 2022 | 53.40 Mn |
| Jan 31, 2022 | 53.50 Mn |
| Oct 31, 2021 | 53.57 Mn |
Korn Ferry Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();