Coherent (COHR) Long-Term Debt Repayments (2009 - 2026)
Coherent's Long-Term Debt Repayments came in at -$38.3 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $50.98 million a year earlier.
Coherent (COHR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coherent's Long-Term Debt Repayments was $1.72 billion, up 294.4% from FY2025.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 15.1% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $436.99 million in FY2025 (+91.0%), $228.8 million in FY2024 (-81.9%), $1.27 billion in FY2023 and $62.05 million in FY2022 (-92.7%).
- The fiscal Q4 2026 figure represents the lowest quarterly Long-Term Debt Repayments since fiscal Q3 2019.
- Year-over-year, Long-Term Debt Repayments increased in three of the last six quarters, with growth averaging 96.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q1 2025 (growth of 530.8%), and the weakest in fiscal Q1 2024 (a decline of 98.1%).
- Business Quant data shows COHR's Long-Term Debt Repayments at $102.32 million (Q3 2026), $8.62 million (Q2 2026) and $1.65 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn | - |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn | - |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn | -67.19 Mn |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn | 300.00 Mn |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn | 1.17 Bn |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Coherent | 40.98 Bn | 35.19 Bn | 787.08 Mn | 13.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.06 Mn |
| Mar 31, 2026 | 475.83 Mn |
| Dec 31, 2025 | 182.91 Mn |
| Sep 30, 2025 | 1.73 Bn |
| Jun 30, 2025 | 68.49 Mn |
| Mar 31, 2025 | 169.94 Mn |
| Dec 31, 2024 | 132.35 Mn |
| Sep 30, 2024 | 117.86 Mn |
| Jun 30, 2024 | 64.09 Mn |
| Mar 31, 2024 | 76.28 Mn |
| Dec 31, 2023 | 88.77 Mn |
| Sep 30, 2023 | 18.68 Mn |
| Jun 30, 2023 | 121.15 Mn |
| Mar 31, 2023 | 78.81 Mn |
| Dec 31, 2022 | 133.79 Mn |
| Sep 30, 2022 | 999.99 Mn |
| Jun 30, 2022 | 62.05 Mn |
| Dec 31, 2021 | 14.89 Mn |
| Jun 30, 2021 | 851.65 Mn |
| Dec 31, 2020 | 49.00 Mn |
Coherent 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=COHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "COHR", "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=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();