Kyndryl Holdings (KD) Long-Term Debt Repayments (2020 - 2026)
Kyndryl Holdings (KD) recorded Long-Term Debt Repayments of $52 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.4% from $36 million a year earlier and up 26.8% from the prior quarter.
Kyndryl Holdings (KD) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, Kyndryl Holdings' Long-Term Debt Repayments came in at $162 million as of Jun 30, 2026, up 11.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $146 million, down 1.4% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $148 million in FY2025 (-77.0%), $644 million in FY2024 (+445.8%), $118 million in FY2023 and $83 million in FY2022 (-8.8%).
- The fiscal Q1 2027 figure is the highest quarterly Long-Term Debt Repayments since fiscal Q4 2024.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last eight quarters, with an average decline of 7.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 44.4% in fiscal Q1 2027, against a decline of 92.6% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $41 million (Q4 2026), $35 million (Q3 2026) and $34 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 700.23 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Kyndryl Holdings | 3.19 Bn | -4.24 Bn | 776.00 Mn | 52.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.00 Mn |
| Mar 31, 2026 | 41.00 Mn |
| Dec 31, 2025 | 35.00 Mn |
| Sep 30, 2025 | 34.00 Mn |
| Jun 30, 2025 | 36.00 Mn |
| Mar 31, 2025 | 40.00 Mn |
| Dec 31, 2024 | 35.00 Mn |
| Sep 30, 2024 | 35.00 Mn |
| Jun 30, 2024 | 38.00 Mn |
| Mar 31, 2024 | 541.00 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 37.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Jun 30, 2022 | 28.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 23.00 Mn |
| Jun 30, 2021 | 19.00 Mn |
| Mar 31, 2021 | 17.00 Mn |
| Dec 31, 2020 | 22.00 Mn |
Kyndryl Holdings 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=KD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "KD", "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=KD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();