Neuronetics (STIM) Non-Current Debt (2017 - 2026)
Neuronetics (STIM) recorded Non-Current Debt of $61.52 million in Q2 2026, up 10.8% from $55.54 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Neuronetics (STIM) Non-Current Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, Neuronetics reported Non-Current Debt of $65.81 million, up 19.3% from FY2024.
- Annual Non-Current Debt has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $55.15 million in FY2024 (-7.0%), $59.28 million in FY2023 (+159.7%), $22.83 million in FY2022 (-35.4%) and $35.34 million in FY2021 (+2.1%).
- Quarterly Non-Current Debt has ranged from $22.83 million in Q4 2022 to $65.81 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Debt has increased for five consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 159.7% in Q4 2023, against a decline of 35.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.3 million (Q1 2026), $65.81 million (Q4 2025) and $65.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 61.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.52 Mn |
| Mar 31, 2026 | 61.30 Mn |
| Dec 31, 2025 | 65.81 Mn |
| Sep 30, 2025 | 65.67 Mn |
| Jun 30, 2025 | 55.54 Mn |
| Mar 31, 2025 | 55.34 Mn |
| Dec 31, 2024 | 55.15 Mn |
| Sep 30, 2024 | 46.00 Mn |
| Jun 30, 2024 | 46.15 Mn |
| Mar 31, 2024 | 59.44 Mn |
| Dec 31, 2023 | 59.28 Mn |
| Sep 30, 2023 | 36.85 Mn |
| Jun 30, 2023 | 36.71 Mn |
| Mar 31, 2023 | 36.64 Mn |
| Dec 31, 2022 | 22.83 Mn |
| Sep 30, 2022 | 27.01 Mn |
| Jun 30, 2022 | 31.21 Mn |
| Mar 31, 2022 | 35.44 Mn |
| Dec 31, 2021 | 35.34 Mn |
| Jun 30, 2021 | 34.94 Mn |
API Access
Neuronetics Non-Current Debt 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=non-current-debt&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();