Neuronetics (STIM) Total Non-Current Liabilities (2017 - 2026)
Neuronetics (STIM) recorded Total Non-Current Liabilities of $109.75 million in Q2 2026, up 1.3% from the prior quarter.
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Analysis
Neuronetics (STIM) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2018, Neuronetics reported Total Non-Current Liabilities of $45.89 million, down 80.1% from FY2017.
- Across earlier years, Total Non-Current Liabilities came in at $231.11 million in FY2017.
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 109.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.75 Mn |
| Mar 31, 2026 | 108.31 Mn |
| Dec 31, 2018 | 45.89 Mn |
| Sep 30, 2018 | 42.53 Mn |
| Jun 30, 2018 | 231.72 Mn |
| Dec 31, 2017 | 231.11 Mn |
API Access
Neuronetics 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=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "STIM", "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=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();