Senseonics Holdings (SENS) Operating Leases (2019 - 2026)
Senseonics Holdings' Operating Leases came in at $6.04 million for Q2 2026, up 8.8% from $5.55 million a year earlier but down 4.0% from the prior quarter.
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Analysis
Senseonics Holdings (SENS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Senseonics Holdings' Operating Leases was $5.29 million, down 8.6% from FY2024.
- Going back by year, Operating Leases was $5.79 million in FY2024 (-6.9%) and $6.21 million in FY2023.
- The five-year range for quarterly Operating Leases is $5.29 million (Q4 2025) to $6.29 million (Q1 2026).
- Business Quant data shows SENS's Operating Leases at $6.29 million (Q1 2026), $5.29 million (Q4 2025) and $5.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Senseonics Holdings | 531.29 Mn | 388.59 Mn | 8.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.04 Mn |
| Mar 31, 2026 | 6.29 Mn |
| Dec 31, 2025 | 5.29 Mn |
| Sep 30, 2025 | 5.42 Mn |
| Jun 30, 2025 | 5.55 Mn |
| Dec 31, 2024 | 5.79 Mn |
| Dec 31, 2023 | 6.21 Mn |
| Mar 31, 2019 | 1.79 Mn |
API Access
Senseonics Holdings Operating Leases 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-leases&ticker=SENS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=SENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();