Senseonics Holdings (SENS) Total Non-Current Liabilities (2014 - 2025)
Senseonics Holdings (SENS) reported Total Non-Current Liabilities of $61.76 million for Q3 2025, down 42.6% from $107.61 million a year earlier but up 11.2% from the prior quarter.
Senseonics Holdings (SENS) Total Non-Current Liabilities (2014 - 2025) Analysis & Trends
At the end of FY2024, Senseonics Holdings posted Total Non-Current Liabilities of $111.21 million, up 8.7% from FY2023.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -4.3% (FY2019 to FY2024).
- By year, Total Non-Current Liabilities came in at $102.32 million in FY2023 (-18.5%), $125.51 million in FY2022 (-15.0%), $147.59 million in FY2021 (+26.8%) and $116.4 million in FY2020 (-16.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $46.35 million in Q1 2025 and a high of $179.34 million in Q2 2021.
- Year over year, Total Non-Current Liabilities has now declined in each of the last three quarters, with an average decline of 14.3% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2021 (growth of 144.1%); the low point was Q1 2025 (a decline of 54.3%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $55.55 million (Q2 2025), $46.35 million (Q1 2025) and $111.21 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | - |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Senseonics Holdings | 705.97 Mn | 563.27 Mn | 8.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 61.76 Mn |
| Jun 30, 2025 | 55.55 Mn |
| Mar 31, 2025 | 46.35 Mn |
| Dec 31, 2024 | 111.21 Mn |
| Sep 30, 2024 | 107.61 Mn |
| Jun 30, 2024 | 104.97 Mn |
| Mar 31, 2024 | 101.44 Mn |
| Dec 31, 2023 | 102.32 Mn |
| Sep 30, 2023 | 95.44 Mn |
| Jun 30, 2023 | 92.63 Mn |
| Mar 31, 2023 | 89.41 Mn |
| Dec 31, 2022 | 125.51 Mn |
| Sep 30, 2022 | 111.08 Mn |
| Jun 30, 2022 | 101.60 Mn |
| Mar 31, 2022 | 127.22 Mn |
| Dec 31, 2021 | 147.59 Mn |
| Sep 30, 2021 | 168.15 Mn |
| Jun 30, 2021 | 179.34 Mn |
| Mar 31, 2021 | 137.56 Mn |
| Dec 31, 2020 | 116.40 Mn |
Senseonics Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SENS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SENS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();