Korn Ferry (KFY) Change in Accured Expenses (2009 - 2026)
Korn Ferry (KFY) recorded Change in Accured Expenses of -$291.35 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$276.91 million a year earlier.
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Analysis
Korn Ferry (KFY) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Korn Ferry's Change in Accured Expenses came in at $28.32 million as of Jul 31, 2026, down 22.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $42.77 million, up 3.1% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -19.0% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $41.46 million in FY2025 (-36.6%), $65.4 million in FY2024 (+25.1%), $52.29 million in FY2023 (-72.7%) and $191.45 million in FY2022 (+56.0%).
- The fiscal Q1 2027 figure is the lowest quarterly Change in Accured Expenses since fiscal Q1 2024.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last six quarters, with growth averaging 1.3%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 64.0% in fiscal Q2 2022, against a decline of 45.4% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $108.66 million (Q4 2026), $142.39 million (Q3 2026) and $68.62 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn | 32.99 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn | 53.59 Mn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | -6.96 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | Korn Ferry | 3.94 Bn | 210.99 Mn | 681.29 Mn | -291.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -291.35 Mn |
| Apr 30, 2026 | 101.94 Mn |
| Jan 31, 2026 | 142.39 Mn |
| Oct 31, 2025 | 68.62 Mn |
| Jul 31, 2025 | -276.91 Mn |
| Apr 30, 2025 | 125.78 Mn |
| Jan 31, 2025 | 87.08 Mn |
| Oct 31, 2024 | 57.29 Mn |
| Jul 31, 2024 | -272.12 Mn |
| Apr 30, 2024 | 92.85 Mn |
| Jan 31, 2024 | 69.02 Mn |
| Oct 31, 2023 | 104.91 Mn |
| Jul 31, 2023 | -321.49 Mn |
| Apr 30, 2023 | 100.78 Mn |
| Jan 31, 2023 | 107.13 Mn |
| Oct 31, 2022 | 66.56 Mn |
| Jul 31, 2022 | -302.29 Mn |
| Apr 30, 2022 | 120.97 Mn |
| Jan 31, 2022 | 127.33 Mn |
| Oct 31, 2021 | 116.67 Mn |
API Access
Korn Ferry Change in Accured 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=change-in-accured-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();