Benchmark Electronics (BHE) Long-Term Debt Repayments (2009 - 2026)
Benchmark Electronics (BHE) reported Long-Term Debt Repayments of $181.94 million for Q2 2026, down 37.3% from $290 million a year earlier but up 53.0% from the prior quarter.
Benchmark Electronics (BHE) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Benchmark Electronics' Long-Term Debt Repayments came in at $790.25 million, up 4.1% year-over-year; for FY2025, it came in at $936.02 million, up 38.9% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 269.9% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $674.1 million in FY2024 (-9.3%), $743.6 million in FY2023 (+17.5%), $633 million in FY2022 (+306.7%) and $155.63 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $40,000 in Q3 2021 and a high of $632.88 million in Q4 2022.
- Year over year, Long-Term Debt Repayments has now declined in each of the last three quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2022 (growth of 308.9%); the low point was Q2 2022 (a decline of 90.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $118.94 million (Q1 2026), $163.44 million (Q4 2025) and $325.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | - |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | - |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | -67.19 Mn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 300.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Benchmark Electronics | 2.56 Bn | 1.31 Bn | 78.40 Mn | 181.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 181.94 Mn |
| Mar 31, 2026 | 118.94 Mn |
| Dec 31, 2025 | 163.47 Mn |
| Sep 30, 2025 | 325.99 Mn |
| Jun 30, 2025 | 290.05 Mn |
| Mar 31, 2025 | 156.69 Mn |
| Dec 31, 2024 | 166.69 Mn |
| Sep 30, 2024 | 145.87 Mn |
| Jun 30, 2024 | 170.87 Mn |
| Mar 31, 2024 | 190.87 Mn |
| Dec 31, 2023 | 236.69 Mn |
| Sep 30, 2023 | 200.04 Mn |
| Jun 30, 2023 | 155.36 Mn |
| Mar 31, 2023 | 151.68 Mn |
| Dec 31, 2022 | 210.04 Mn |
| Sep 30, 2022 | 160.04 Mn |
| Jun 30, 2022 | 133.04 Mn |
| Mar 31, 2022 | 130.04 Mn |
| Dec 31, 2021 | 120.04 Mn |
| Sep 30, 2021 | 31.92 Mn |
Benchmark Electronics 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=BHE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "BHE", "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=BHE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();