Korn Ferry (KFY) Shares Outstanding (2009 - 2026)
Korn Ferry's Shares Outstanding was 50.35 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 2.2% from 51.47 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Korn Ferry (KFY) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Shares Outstanding at Korn Ferry came in at 51.43 million, down 0.7% from FY2025.
- Shares Outstanding shows a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 51.78 million in FY2025 (+1.4%), 51.04 million in FY2024 (-0.9%), 51.48 million in FY2023 (-2.5%) and 52.81 million in FY2022 (-0.2%).
- The fiscal Q1 2027 figure marks the lowest quarterly Shares Outstanding since fiscal Q2 2016.
- Compared with a year earlier, Shares Outstanding has declined for five straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q1 2025 (growth of 2.0%); the worst was fiscal Q3 2023 (a decline of 3.2%).
- Per Business Quant data, KFY's Shares Outstanding in the three fiscal quarters before Q1 2027 was 51.43 million (Q4 2026), 51.57 million (Q3 2026) and 51.75 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.24 Bn | 112.52 Bn | 6.13 Bn | 612.21 Mn |
| 2 | Cintas | 89.71 Bn | 88.80 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 32.25 Bn | 31.44 Bn | 1.07 Bn | 297.74 Mn |
| 4 | APi | 16.99 Bn | 14.02 Bn | 703.00 Mn | 433.00 Mn |
| 5 | Rollins | 16.78 Bn | 16.33 Bn | 569.95 Mn | 481.38 Mn |
| 6 | Gartner | 15.19 Bn | 8.88 Bn | 1.19 Bn | 66.50 Mn |
| 7 | UL Solutions | 15.03 Bn | 13.79 Bn | 417.00 Mn | 202.00 Mn |
| 8 | Aramark | 13.86 Bn | 11.81 Bn | 430.34 Mn | 263.59 Mn |
| 9 | Rentokil Initial | 11.53 Bn | 5.05 Bn | - | 504.80 Mn |
| 10 | Korn Ferry | 3.82 Bn | 87.13 Mn | 681.29 Mn | 50.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 50.35 Mn |
| Apr 30, 2026 | 51.43 Mn |
| Jan 31, 2026 | 51.57 Mn |
| Oct 31, 2025 | 51.75 Mn |
| Jul 31, 2025 | 51.47 Mn |
| Apr 30, 2025 | 51.78 Mn |
| Jan 31, 2025 | 51.61 Mn |
| Oct 31, 2024 | 51.96 Mn |
| Jul 31, 2024 | 51.95 Mn |
| Apr 30, 2024 | 51.04 Mn |
| Jan 31, 2024 | 51.13 Mn |
| Oct 31, 2023 | 51.33 Mn |
| Jul 31, 2023 | 50.93 Mn |
| Apr 30, 2023 | 51.48 Mn |
| Jan 31, 2023 | 51.28 Mn |
| Oct 31, 2022 | 51.87 Mn |
| Jul 31, 2022 | 51.77 Mn |
| Apr 30, 2022 | 52.81 Mn |
| Jan 31, 2022 | 53.00 Mn |
| Oct 31, 2021 | 53.11 Mn |
API Access
Korn Ferry Shares Outstanding 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&ticker=KFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();