Senseonics Holdings (SENS) Operating Expenses (2014 - 2026)
Senseonics Holdings (SENS) posted Operating Expenses of $44.55 million for Q2 2026, up 155.4% from $17.44 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Senseonics Holdings (SENS) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Senseonics Holdings was $135 million, up 94.4% year-over-year; for FY2025, it was $84.1 million, up 11.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 45.5% (FY2020 to FY2025).
- In prior years, Senseonics Holdings' Operating Expenses was $75.38 million in FY2024 (-4.2%), $78.69 million in FY2023 (+10.3%), $71.35 million in FY2022 (+26.6%) and $56.37 million in FY2021 (+337.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2014.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 44.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 158.7%; the weakest was Q1 2025, with a decline of 19.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $38.79 million (Q1 2026), $28.59 million (Q4 2025) and $23.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Senseonics Holdings | 531.29 Mn | 388.59 Mn | 8.56 Mn | 44.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.55 Mn |
| Mar 31, 2026 | 38.79 Mn |
| Dec 31, 2025 | 28.59 Mn |
| Sep 30, 2025 | 23.07 Mn |
| Jun 30, 2025 | 17.44 Mn |
| Mar 31, 2025 | 14.99 Mn |
| Dec 31, 2024 | 18.22 Mn |
| Sep 30, 2024 | 18.80 Mn |
| Jun 30, 2024 | 19.79 Mn |
| Mar 31, 2024 | 18.57 Mn |
| Dec 31, 2023 | 18.09 Mn |
| Sep 30, 2023 | 20.19 Mn |
| Jun 30, 2023 | 20.29 Mn |
| Mar 31, 2023 | 20.12 Mn |
| Dec 31, 2022 | 19.48 Mn |
| Sep 30, 2022 | 18.33 Mn |
| Jun 30, 2022 | 17.86 Mn |
| Mar 31, 2022 | 15.69 Mn |
| Dec 31, 2021 | 13.46 Mn |
| Sep 30, 2021 | 14.79 Mn |
API Access
Senseonics Holdings 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=SENS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SENS", "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=SENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();