Korn Ferry (KFY) Long-Term Debt Repayments (2014 - 2026)
Korn Ferry's Long-Term Debt Repayments was $588,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 17.8% from $499,000 a year earlier and up 2.6% from the prior quarter.
Korn Ferry (KFY) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Korn Ferry's Long-Term Debt Repayments was $2.16 million through Jul 31, 2026, up 25.7% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $2.07 million, up 27.0% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $1.63 million in FY2025 (-8.2%), $1.78 million in FY2024 (+8.4%), $1.64 million in FY2023 (+41.7%) and $1.16 million in FY2022 (-12.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q4 2020.
- Compared with a year earlier, Long-Term Debt Repayments has increased for six straight quarters, with growth averaging 11.6% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q3 2023 (growth of 54.5%); the worst was fiscal Q2 2025 (a decline of 27.5%).
- Per Business Quant data, KFY's Long-Term Debt Repayments in the three fiscal quarters before Q1 2027 was $573,000 (Q4 2026), $509,000 (Q3 2026) and $490,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | - |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 57.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 11.63 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Korn Ferry | 3.68 Bn | -47.31 Mn | 681.29 Mn | 588,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 588,000.00 |
| Apr 30, 2026 | 573,000.00 |
| Jan 31, 2026 | 509,000.00 |
| Oct 31, 2025 | 490,000.00 |
| Jul 31, 2025 | 499,000.00 |
| Apr 30, 2025 | 420,000.00 |
| Jan 31, 2025 | 396,000.00 |
| Oct 31, 2024 | 403,000.00 |
| Jul 31, 2024 | 412,000.00 |
| Apr 30, 2024 | 415,000.00 |
| Jan 31, 2024 | 423,000.00 |
| Oct 31, 2023 | 556,000.00 |
| Jul 31, 2023 | 382,000.00 |
| Apr 30, 2023 | 411,000.00 |
| Jan 31, 2023 | 414,000.00 |
| Oct 31, 2022 | 402,000.00 |
| Jul 31, 2022 | 412,000.00 |
| Apr 30, 2022 | 297,000.00 |
| Jan 31, 2022 | 268,000.00 |
| Oct 31, 2021 | 303,000.00 |
Korn Ferry Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=KFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=KFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();