Korn Ferry (KFY) Other Accumulated Expenses (2010 - 2026)
Korn Ferry (KFY) posted Other Accumulated Expenses of $292.15 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 0.2% from $292.77 million a year earlier and down 7.1% from the prior quarter.
Korn Ferry (KFY) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Korn Ferry's Other Accumulated Expenses came in at $314.4 million, up 3.2% from FY2025.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- In prior fiscal years, Korn Ferry's Other Accumulated Expenses was $304.59 million in FY2025 (+1.9%), $298.79 million in FY2024 (-7.8%), $324.15 million in FY2023 (+7.2%) and $302.41 million in FY2022 (+26.3%).
- Quarterly Other Accumulated Expenses has run from a low of $269.13 million in fiscal Q2 2022 to a high of $346.49 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in five of the last eight quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2022, with growth of 27.1%; the weakest was fiscal Q2 2025, with a decline of 16.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $314.4 million (Q4 2026), $319.57 million (Q3 2026) and $284.72 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - |
| 10 | Korn Ferry | 3.98 Bn | 254.77 Mn | 681.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 292.15 Mn |
| Apr 30, 2026 | 314.40 Mn |
| Jan 31, 2026 | 319.57 Mn |
| Oct 31, 2025 | 284.72 Mn |
| Jul 31, 2025 | 292.77 Mn |
| Apr 30, 2025 | 304.59 Mn |
| Jan 31, 2025 | 292.59 Mn |
| Oct 31, 2024 | 274.12 Mn |
| Jul 31, 2024 | 277.80 Mn |
| Apr 30, 2024 | 298.79 Mn |
| Jan 31, 2024 | 312.51 Mn |
| Oct 31, 2023 | 328.40 Mn |
| Jul 31, 2023 | 297.44 Mn |
| Apr 30, 2023 | 324.15 Mn |
| Jan 31, 2023 | 346.49 Mn |
| Oct 31, 2022 | 303.47 Mn |
| Jul 31, 2022 | 295.98 Mn |
| Apr 30, 2022 | 302.41 Mn |
| Jan 31, 2022 | 298.91 Mn |
| Oct 31, 2021 | 269.13 Mn |
Korn Ferry Other Accumulated 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-accumulated-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();