Korn Ferry (KFY) Exchange Rate Effect (2009 - 2026)
Korn Ferry (KFY) recorded Exchange Rate Effect of -$3.93 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$1.01 million a year earlier.
Powered by 
Analysis
Korn Ferry (KFY) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, Korn Ferry's Exchange Rate Effect came in at $8.51 million as of Jul 31, 2026, down 41.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $11.43 million, down 35.9% from FY2025.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of -21.5% (FY2021 to FY2026).
- Across earlier fiscal years, Exchange Rate Effect came in at $17.83 million in FY2025, -$16.82 million in FY2024, -$2.28 million in FY2023 and -$52.59 million in FY2022.
- Quarterly Exchange Rate Effect has ranged from -$26.23 million in fiscal Q4 2022 to $35.73 million in fiscal Q3 2023 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$7.11 million (Q4 2026), $18.26 million (Q3 2026) and $1.29 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.76 Bn | 109.04 Bn | 6.13 Bn | -47.45 Mn |
| 2 | Cintas | 89.18 Bn | 88.26 Bn | 1.55 Bn | -215,000.00 |
| 3 | Iron Mountain | 32.47 Bn | 31.67 Bn | 1.07 Bn | 6.96 Mn |
| 4 | APi | 16.88 Bn | 13.92 Bn | 703.00 Mn | -2.00 Mn |
| 5 | Rollins | 16.87 Bn | 16.42 Bn | 569.95 Mn | 208,000.00 |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | -1.00 Mn |
| 7 | Gartner | 14.92 Bn | 8.61 Bn | 1.19 Bn | -10.62 Mn |
| 8 | Aramark | 14.47 Bn | 12.42 Bn | 430.34 Mn | -1.12 Mn |
| 9 | Rentokil Initial | 11.48 Bn | 4.99 Bn | - | - |
| 10 | Korn Ferry | 3.76 Bn | 33.25 Mn | 681.29 Mn | -3.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -3.93 Mn |
| Apr 30, 2026 | -7.11 Mn |
| Jan 31, 2026 | 18.26 Mn |
| Oct 31, 2025 | 1.29 Mn |
| Jul 31, 2025 | -1.01 Mn |
| Apr 30, 2025 | 28.95 Mn |
| Jan 31, 2025 | -17.47 Mn |
| Oct 31, 2024 | 3.98 Mn |
| Jul 31, 2024 | 2.37 Mn |
| Apr 30, 2024 | -7.31 Mn |
| Jan 31, 2024 | 10.83 Mn |
| Oct 31, 2023 | -22.19 Mn |
| Jul 31, 2023 | 1.86 Mn |
| Apr 30, 2023 | 1.20 Mn |
| Jan 31, 2023 | 35.73 Mn |
| Oct 31, 2022 | -24.28 Mn |
| Jul 31, 2022 | -14.93 Mn |
| Apr 30, 2022 | -26.23 Mn |
| Jan 31, 2022 | -12.83 Mn |
| Oct 31, 2021 | -6.61 Mn |
API Access
Korn Ferry Exchange Rate Effect 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=exchange-rate-effect&ticker=KFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();