Sensata Technologies Holding (ST) Long-Term Debt Repayments (2010 - 2026)
Sensata Technologies Holding (ST) reported Long-Term Debt Repayments of $32.1 million for Q3 2026, compared with $300,000 a year earlier and down 92.0% from the prior quarter.
Sensata Technologies Holding (ST) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Sensata Technologies Holding's Long-Term Debt Repayments came in at $783.9 million; for FY2025, it came in at $352.2 million, down 49.8% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $701.9 million in FY2024 (-17.3%), $848.9 million in FY2023 (+66.2%), $510.7 million in FY2022 (-33.1%) and $763.26 million in FY2021 (+86.7%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $250,000 in Q3 2023 and a high of $700.29 million in Q3 2024.
- Year over year, Long-Term Debt Repayments gained in two of the last five quarters, with an average decline of 3.5%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2025 (growth of 150.9%); the low point was Q3 2025 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $400.7 million (Q2 2026), $400,000 (Q1 2026) and $350.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 302.05 Bn | 273.75 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 204.94 Bn | 198.46 Bn | 4.02 Bn | - |
| 3 | Deere | 177.63 Bn | 145.72 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 153.56 Bn | 150.74 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 117.20 Bn | 115.32 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Vertiv Holdings | 96.57 Bn | 85.42 Bn | 1.64 Bn | 15.30 Mn |
| 7 | Emerson Electric | 95.33 Bn | 88.07 Bn | 2.66 Bn | 1.42 Bn |
| 8 | 3M | 91.44 Bn | 72.88 Bn | 2.78 Bn | 650.00 Mn |
| 9 | Illinois Tool Works | 79.42 Bn | 76.10 Bn | 1.91 Bn | - |
| 10 | Sensata Technologies Holding | 6.02 Bn | 3.86 Bn | 331.90 Mn | 32.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.10 Mn |
| Jun 30, 2026 | 400.70 Mn |
| Mar 31, 2026 | 400,000.00 |
| Dec 31, 2025 | 350.66 Mn |
| Sep 30, 2025 | 342,000.00 |
| Jun 30, 2025 | 500,000.00 |
| Mar 31, 2025 | 700,000.00 |
| Dec 31, 2024 | 1.05 Mn |
| Sep 30, 2024 | 700.29 Mn |
| Jun 30, 2024 | 287,000.00 |
| Mar 31, 2024 | 279,000.00 |
| Dec 31, 2023 | 400.26 Mn |
| Sep 30, 2023 | 250,000.00 |
| Jun 30, 2023 | 197.45 Mn |
| Mar 31, 2023 | 250.94 Mn |
| Dec 31, 2022 | 2.73 Mn |
| Sep 30, 2022 | 502.30 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 2.93 Mn |
| Dec 31, 2021 | 2.50 Mn |
Sensata Technologies Holding 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=ST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ST", "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=ST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();