Sensata Technologies Holding (ST) Interest Expenses (2010 - 2026)
Sensata Technologies Holding (ST) reported Interest Expenses of $32.8 million for Q2 2026, down 13.0% from $37.7 million a year earlier and down 3.8% from the prior quarter.
Sensata Technologies Holding (ST) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sensata Technologies Holding's Interest Expenses came in at $140.35 million, down 7.8% year-over-year; for FY2025, it was $149.1 million, down 4.3% from FY2024.
- Interest Expenses has declined for three consecutive years, with a four-year compound annual growth rate of -4.9% (FY2021 to FY2025).
- By year, Interest Expenses came in at $155.8 million in FY2024 (-14.5%), $182.2 million in FY2023 (-6.8%), $195.57 million in FY2022 (+7.1%) and $182.58 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Interest Expenses since Q3 2014.
- Year over year, Interest Expenses has now declined in each of the last ten quarters, with an average decline of 8.2% over the last eight quarters.
- The year-over-year decline in Interest Expenses has ranged between 1.0% (Q1 2025) and 21.3% (Q1 2024) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.1 million (Q1 2026), $35.73 million (Q4 2025) and $37.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | - |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Sensata Technologies Holding | 6.10 Bn | 3.70 Bn | 301.80 Mn | 32.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.80 Mn |
| Mar 31, 2026 | 34.10 Mn |
| Dec 31, 2025 | 35.73 Mn |
| Sep 30, 2025 | 37.72 Mn |
| Jun 30, 2025 | 37.70 Mn |
| Mar 31, 2025 | 38.00 Mn |
| Dec 31, 2024 | 37.60 Mn |
| Sep 30, 2024 | 38.94 Mn |
| Jun 30, 2024 | 40.86 Mn |
| Mar 31, 2024 | 38.40 Mn |
| Dec 31, 2023 | 43.34 Mn |
| Sep 30, 2023 | 44.31 Mn |
| Jun 30, 2023 | 45.76 Mn |
| Mar 31, 2023 | 48.79 Mn |
| Mar 31, 2015 | 34.88 Mn |
| Dec 31, 2014 | 36.24 Mn |
| Sep 30, 2014 | 23.87 Mn |
| Jun 30, 2014 | 23.59 Mn |
| Mar 31, 2014 | 23.51 Mn |
| Dec 31, 2013 | 23.53 Mn |
Sensata Technologies Holding Interest Expenses 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=interest-expenses&ticker=ST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();