Korn Ferry (KFY) Return on Sales [ROS] (2009 - 2026)
Korn Ferry's Return on Sales [ROS] was 12.21% in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 0.55 percentage points from 11.66% a year earlier but down 1.00 percentage points from the prior quarter.
Korn Ferry (KFY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Korn Ferry's Return on Sales [ROS] was 12.88% through Jul 31, 2026, up 0.21 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it was 12.75%, up 0.21 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +4.19 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 12.54% in FY2025 (+4.93 pp), 7.62% in FY2024 (-3.43 pp), 11.05% in FY2023 (-6.74 pp) and 17.78% in FY2022 (+9.22 pp).
- Quarterly Return on Sales [ROS] has moved between 1.82% (fiscal Q3 2023) and 19.09% (fiscal Q4 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +2.23 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2025 (a gain of 9.62 percentage points); the worst was fiscal Q3 2023 (a drop of 16.62 percentage points).
- Per Business Quant data, KFY's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was 13.21% (Q4 2026), 12.55% (Q3 2026) and 13.53% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 149.32 Bn | 108.61 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 89.20 Bn | 88.29 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 33.03 Bn | 32.22 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.75 Bn | 13.78 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 16.44 Bn | 15.99 Bn | 582.90 Mn | 20.45% |
| 6 | Gartner | 15.23 Bn | 8.92 Bn | 1.19 Bn | 22.59% |
| 7 | UL Solutions | 14.62 Bn | 13.38 Bn | 417.00 Mn | 18.38% |
| 8 | Aramark | 13.69 Bn | 11.63 Bn | 430.34 Mn | 4.26% |
| 9 | Rentokil Initial | 11.36 Bn | 4.88 Bn | - | - |
| 10 | Korn Ferry | 3.85 Bn | 120.86 Mn | 681.29 Mn | 12.21% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 12.21% |
| Apr 30, 2026 | 13.21% |
| Jan 31, 2026 | 12.55% |
| Oct 31, 2025 | 13.53% |
| Jul 31, 2025 | 11.66% |
| Apr 30, 2025 | 14.53% |
| Jan 31, 2025 | 11.56% |
| Oct 31, 2024 | 12.83% |
| Jul 31, 2024 | 11.14% |
| Apr 30, 2024 | 11.93% |
| Jan 31, 2024 | 7.37% |
| Oct 31, 2023 | 3.20% |
| Jul 31, 2023 | 8.04% |
| Apr 30, 2023 | 9.83% |
| Jan 31, 2023 | 1.82% |
| Oct 31, 2022 | 16.26% |
| Jul 31, 2022 | 15.87% |
| Apr 30, 2022 | 19.09% |
| Jan 31, 2022 | 18.44% |
| Oct 31, 2021 | 16.13% |
Korn Ferry Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=KFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();