Neuronetics (STIM) Total Liabilities (2017 - 2026)
Neuronetics' Total Liabilities came in at $109.89 million for Q2 2026, up 6.5% from $103.14 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Neuronetics (STIM) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Neuronetics' Total Liabilities was $115.31 million, up 5.7% from FY2024.
- Total Liabilities has increased in each of the last seven years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $109.1 million in FY2024 (+33.6%), $81.64 million in FY2023 (+36.5%), $59.82 million in FY2022 (+6.7%) and $56.05 million in FY2021 (+5.4%).
- The five-year range for quarterly Total Liabilities is $51.99 million (Q3 2021) to $115.31 million (Q4 2025).
- Year-over-year, Total Liabilities has increased for 11 consecutive quarters, with growth averaging 26.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 76.3%), and the weakest in Q3 2023 (a decline of 2.1%).
- Business Quant data shows STIM's Total Liabilities at $108.38 million (Q1 2026), $115.31 million (Q4 2025) and $114.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 109.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.89 Mn |
| Mar 31, 2026 | 108.38 Mn |
| Dec 31, 2025 | 115.31 Mn |
| Sep 30, 2025 | 114.11 Mn |
| Jun 30, 2025 | 103.14 Mn |
| Mar 31, 2025 | 102.46 Mn |
| Dec 31, 2024 | 109.10 Mn |
| Sep 30, 2024 | 64.74 Mn |
| Jun 30, 2024 | 77.43 Mn |
| Mar 31, 2024 | 76.16 Mn |
| Dec 31, 2023 | 81.64 Mn |
| Sep 30, 2023 | 55.05 Mn |
| Jun 30, 2023 | 54.92 Mn |
| Mar 31, 2023 | 55.26 Mn |
| Dec 31, 2022 | 59.82 Mn |
| Sep 30, 2022 | 56.24 Mn |
| Jun 30, 2022 | 54.53 Mn |
| Mar 31, 2022 | 53.35 Mn |
| Dec 31, 2021 | 56.05 Mn |
| Sep 30, 2021 | 51.99 Mn |
API Access
Neuronetics Total 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-liabilities&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();