Korn Ferry (KFY) Operating Expenses (2009 - 2026)
Korn Ferry (KFY) posted Operating Expenses of $671.24 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 6.2% from $632.1 million a year earlier and up 0.7% from the prior quarter.
Korn Ferry (KFY) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Korn Ferry was $2.6 billion, up 6.7% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $2.56 billion, up 6.2% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- In prior fiscal years, Korn Ferry's Operating Expenses was $2.41 billion in FY2025 (-6.5%), $2.58 billion in FY2024 (+1.4%), $2.55 billion in FY2023 (+17.2%) and $2.17 billion in FY2022 (+30.6%).
- The fiscal Q1 2027 figure stands as the highest quarterly Operating Expenses since fiscal Q2 2024.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 38.5%; the weakest was fiscal Q2 2025, with a decline of 13.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $666.73 million (Q4 2026), $634.03 million (Q3 2026) and $631.05 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.06 Bn | 106.34 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 86.59 Bn | 85.67 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.87 Bn | 33.06 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.51 Bn | 14.55 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.10 Bn | 15.64 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 15.07 Bn | 13.83 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | Korn Ferry | 3.67 Bn | -54.25 Mn | 681.29 Mn | 671.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 671.24 Mn |
| Apr 30, 2026 | 666.73 Mn |
| Jan 31, 2026 | 634.03 Mn |
| Oct 31, 2025 | 631.05 Mn |
| Jul 31, 2025 | 632.10 Mn |
| Apr 30, 2025 | 615.26 Mn |
| Jan 31, 2025 | 598.31 Mn |
| Oct 31, 2024 | 594.48 Mn |
| Jul 31, 2024 | 606.71 Mn |
| Apr 30, 2024 | 616.45 Mn |
| Jan 31, 2024 | 627.01 Mn |
| Oct 31, 2023 | 689.63 Mn |
| Jul 31, 2023 | 649.49 Mn |
| Apr 30, 2023 | 665.54 Mn |
| Jan 31, 2023 | 674.33 Mn |
| Oct 31, 2022 | 616.07 Mn |
| Jul 31, 2022 | 591.55 Mn |
| Apr 30, 2022 | 588.25 Mn |
| Jan 31, 2022 | 558.67 Mn |
| Oct 31, 2021 | 539.62 Mn |
Korn Ferry Operating Expenses 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=operating-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();