Korn Ferry (KFY) EBITDA (2009 - 2026)
Korn Ferry's EBITDA was $115.58 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 8.9% from $106.13 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Korn Ferry (KFY) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Korn Ferry's EBITDA was $483.03 million through Jul 31, 2026, up 10.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $473.59 million, up 11.0% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $426.61 million in FY2025 (+46.7%), $290.9 million in FY2024 (-24.4%), $384.68 million in FY2023 (-27.9%) and $533.6 million in FY2022 (+145.2%).
- Quarterly EBITDA has moved between $29.55 million (fiscal Q3 2023) and $154.89 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, EBITDA was higher in seven of the last eight quarters, with growth averaging 34.0%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2025 (growth of 152.9%); the worst was fiscal Q3 2023 (a decline of 79.2%).
- Per Business Quant data, KFY's EBITDA in the three fiscal quarters before Q1 2027 was $123.11 million (Q4 2026), $114.01 million (Q3 2026) and $130.33 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.05 Bn | 106.34 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 86.68 Bn | 85.76 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.87 Bn | 33.06 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.56 Bn | 14.59 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 16.08 Bn | 15.63 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 15.09 Bn | 13.84 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.75 Bn | 12.70 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 14.64 Bn | 8.33 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Korn Ferry | 3.67 Bn | -54.25 Mn | 681.29 Mn | 115.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 115.58 Mn |
| Apr 30, 2026 | 123.11 Mn |
| Jan 31, 2026 | 114.01 Mn |
| Oct 31, 2025 | 130.33 Mn |
| Jul 31, 2025 | 106.13 Mn |
| Apr 30, 2025 | 125.10 Mn |
| Jan 31, 2025 | 98.72 Mn |
| Oct 31, 2024 | 107.16 Mn |
| Jul 31, 2024 | 95.63 Mn |
| Apr 30, 2024 | 103.37 Mn |
| Jan 31, 2024 | 69.38 Mn |
| Oct 31, 2023 | 42.37 Mn |
| Jul 31, 2023 | 75.78 Mn |
| Apr 30, 2023 | 90.56 Mn |
| Jan 31, 2023 | 29.55 Mn |
| Oct 31, 2022 | 136.74 Mn |
| Jul 31, 2022 | 127.83 Mn |
| Apr 30, 2022 | 154.89 Mn |
| Jan 31, 2022 | 142.39 Mn |
| Oct 31, 2021 | 119.41 Mn |
API Access
Korn Ferry EBITDA 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=ebitda&ticker=KFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();