Korn Ferry (KFY) Other Operating Expenses (2009 - 2026)
Korn Ferry (KFY) recorded Other Operating Expenses of $591.01 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 4.0% from $568.22 million a year earlier but down 1.3% from the prior quarter.
Korn Ferry (KFY) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Korn Ferry's Other Operating Expenses came in at $2.34 billion as of Jul 31, 2026, up 7.5% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $2.24 billion, up 6.8% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $2.1 billion in FY2025 (-4.7%), $2.2 billion in FY2024 (+0.5%), $2.19 billion in FY2023 (+15.8%) and $1.89 billion in FY2022 (+35.3%).
- Quarterly Other Operating Expenses has ranged from $475.56 million in fiscal Q2 2022 to $599.07 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for five consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 39.6% in fiscal Q2 2022, against a decline of 7.7% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $599.07 million (Q4 2026), $568.08 million (Q3 2026) and $580.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - |
| 10 | Korn Ferry | 3.68 Bn | -47.31 Mn | 681.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 591.01 Mn |
| Apr 30, 2026 | 599.07 Mn |
| Jan 31, 2026 | 568.08 Mn |
| Oct 31, 2025 | 580.80 Mn |
| Jul 31, 2025 | 568.22 Mn |
| Apr 30, 2025 | 546.64 Mn |
| Jan 31, 2025 | 531.67 Mn |
| Oct 31, 2024 | 529.37 Mn |
| Jul 31, 2024 | 546.71 Mn |
| Apr 30, 2024 | 551.72 Mn |
| Jan 31, 2024 | 559.73 Mn |
| Oct 31, 2023 | 560.37 Mn |
| Jul 31, 2023 | 583.16 Mn |
| Apr 30, 2023 | 598.00 Mn |
| Jan 31, 2023 | 560.39 Mn |
| Oct 31, 2022 | 550.99 Mn |
| Jul 31, 2022 | 527.09 Mn |
| Apr 30, 2022 | 526.12 Mn |
| Jan 31, 2022 | 497.86 Mn |
| Oct 31, 2021 | 475.56 Mn |
Korn Ferry Other 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=other-operating-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();