Sensata Technologies Holding (ST) Amortization - Intangibles (2010 - 2026)
Sensata Technologies Holding (ST) recorded Amortization - Intangibles of $15.7 million in Q2 2026, down 25.9% from $21.2 million a year earlier and unchanged from the prior quarter.
Sensata Technologies Holding (ST) Amortization - Intangibles (2010 - 2026) Analysis & Trends
On a TTM basis, Sensata Technologies Holding's Amortization - Intangibles came in at $69.84 million as of Jun 30, 2026, down 36.5% year-over-year; for FY2025, it came in at $80.2 million, down 45.0% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $145.7 million in FY2024 (-16.2%), $173.9 million in FY2023 (+13.1%), $153.79 million in FY2022 (+14.7%) and $134.13 million in FY2021 (+3.5%).
- Quarterly Amortization - Intangibles has ranged from $15.7 million in Q1 2026 to $54.56 million in Q2 2023 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has declined for seven consecutive quarters, with an average decline of 30.6% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 48.2% in Q2 2023, against a decline of 56.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $15.7 million (Q1 2026), $18.84 million (Q4 2025) and $19.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Sensata Technologies Holding | 6.05 Bn | 3.65 Bn | 301.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.70 Mn |
| Mar 31, 2026 | 15.70 Mn |
| Dec 31, 2025 | 18.84 Mn |
| Sep 30, 2025 | 19.60 Mn |
| Jun 30, 2025 | 21.20 Mn |
| Mar 31, 2025 | 20.60 Mn |
| Dec 31, 2024 | 23.37 Mn |
| Sep 30, 2024 | 44.73 Mn |
| Jun 30, 2024 | 39.09 Mn |
| Mar 31, 2024 | 38.52 Mn |
| Dec 31, 2023 | 38.59 Mn |
| Sep 30, 2023 | 39.97 Mn |
| Jun 30, 2023 | 54.56 Mn |
| Mar 31, 2023 | 40.77 Mn |
| Dec 31, 2022 | 39.30 Mn |
| Sep 30, 2022 | 40.31 Mn |
| Jun 30, 2022 | 36.81 Mn |
| Mar 31, 2022 | 37.37 Mn |
| Dec 31, 2021 | 32.64 Mn |
| Sep 30, 2021 | 34.57 Mn |
Sensata Technologies Holding Amortization - Intangibles 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=amortization-intangibles&ticker=ST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();