Analysts expect Korn Ferry to report revenue of 899.73 M for Q2 26, against a range of 826.42 M to 973.05 M. The most recent reported quarter, Q1 26, came in at 756.50 M, a 5.6% beat against the 716.10 M consensus.
| Metric | Q2 24 | Q3 24 | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 | Q1 28 | Q2 28 | Q3 28 | Q4 28 | Q1 29 | Q2 29 | Q3 29 | Q4 29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | 674.37 M | 668.73 M | 712.05 M | 708.61 M | 721.70 M | 717.38 M | 759.77 M | 756.50 M | - | - | - | - | - | - | - | - | |||||||
| High Estimate | 666.40 M | 662.35 M | 666.14 M | 703.59 M | 713.96 M | 684.62 M | 813.75 M | 779.86 M | 973.05 M | 914.39 M | 964.54 M | 967.25 M | 1.06 B | 975.31 M | 1.01 B | 1.38 B | |||||||
| Low Estimate | 621.27 M | 606.98 M | 627.15 M | 595.64 M | 642.13 M | 630.71 M | 716.96 M | 652.34 M | 826.42 M | 809.91 M | 898.90 M | 895.93 M | 954.24 M | 882.25 M | 914.30 M | 1.24 B | |||||||
| Consensus Estimate | 643.83 M | 634.66 M | 646.64 M | 649.61 M | 678.04 M | 657.67 M | 765.35 M | 716.10 M | 899.73 M | 862.15 M | 931.72 M | 931.59 M | 1.01 B | 928.78 M | 964.45 M | 1.31 B |
Analysts expect Korn Ferry to report earnings per share of 1.33 for Q2 26, against a range of 1.27 to 1.39. The most recent reported quarter, Q1 26, came in at 1.43, a 8.3% beat against the 1.32 consensus.
| Metric | Q2 24 | Q3 24 | Q4 24 | Q1 25 | Q2 25 | Q3 25 | Q4 25 | Q1 26 | Q2 26 | Q3 26 | Q4 26 | Q1 27 | Q2 27 | Q3 27 | Q4 27 | Q1 28 | Q2 28 | Q3 28 | Q4 28 | Q1 29 | Q2 29 | Q3 29 | Q4 29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reported (Actual) | 1.21 | 1.19 | 1.32 | 1.31 | 1.33 | 1.28 | 1.40 | 1.43 | - | - | - | - | - | - | - | - | |||||||
| High Estimate | 1.31 | 1.21 | 1.47 | 1.38 | 1.41 | 1.25 | 1.57 | 1.42 | 1.39 | 1.45 | 1.63 | 1.49 | 1.77 | 1.66 | 1.82 | 2.74 | |||||||
| Low Estimate | 1.21 | 0.99 | 1.21 | 1.26 | 1.29 | 1.11 | 1.35 | 1.22 | 1.27 | 1.31 | 1.33 | 1.39 | 1.59 | 1.42 | 1.50 | 2.34 | |||||||
| Consensus Estimate | 1.26 | 1.10 | 1.34 | 1.32 | 1.35 | 1.18 | 1.46 | 1.32 | 1.33 | 1.38 | 1.48 | 1.44 | 1.68 | 1.54 | 1.66 | 2.54 |
Pull Wall Street consensus for Korn Ferry (high, low and consensus estimates alongside reported actuals) into your own models and apps with the Business Quant Estimates API. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/estimates?ticker=KFY&mode=revenue&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/estimates"
params = {"ticker": "KFY", "mode": "revenue", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/estimates?ticker=KFY&mode=revenue&api_key=YOUR_API_KEY");
const data = await res.json();