Sensata Technologies Holding (ST) Operating Expenses (2010 - 2026)
Sensata Technologies Holding (ST) posted Operating Expenses of $825.3 million for Q2 2026, up 2.5% from $805.3 million a year earlier and up 4.0% from the prior quarter.
Sensata Technologies Holding (ST) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Sensata Technologies Holding was $3.49 billion, down 3.3% year-over-year; for FY2025, it was $3.47 billion, down 8.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior years, Sensata Technologies Holding's Operating Expenses was $3.78 billion in FY2024 (-2.3%), $3.87 billion in FY2023 (+15.3%), $3.36 billion in FY2022 (+5.4%) and $3.19 billion in FY2021 (+17.7%).
- Quarterly Operating Expenses has run from a low of $765.37 million in Q3 2022 to a high of $1.19 billion in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 38.5%; the weakest was Q4 2024, with a decline of 30.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $793.2 million (Q1 2026), $817.75 million (Q4 2025) and $1.05 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Sensata Technologies Holding | 6.10 Bn | 3.70 Bn | 301.80 Mn | 825.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 825.30 Mn |
| Mar 31, 2026 | 793.20 Mn |
| Dec 31, 2025 | 817.75 Mn |
| Sep 30, 2025 | 1.05 Bn |
| Jun 30, 2025 | 805.30 Mn |
| Mar 31, 2025 | 789.10 Mn |
| Dec 31, 2024 | 833.94 Mn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 905.59 Mn |
| Mar 31, 2024 | 861.92 Mn |
| Dec 31, 2023 | 1.19 Bn |
| Sep 30, 2023 | 885.04 Mn |
| Jun 30, 2023 | 944.10 Mn |
| Mar 31, 2023 | 849.33 Mn |
| Dec 31, 2022 | 862.31 Mn |
| Sep 30, 2022 | 765.37 Mn |
| Jun 30, 2022 | 881.61 Mn |
| Mar 31, 2022 | 849.84 Mn |
| Dec 31, 2021 | 784.91 Mn |
| Sep 30, 2021 | 789.68 Mn |
Sensata Technologies Holding Operating 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=operating-expenses&ticker=ST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();