Neuronetics (STIM) Non-Current Assets (2017 - 2026)
Neuronetics (STIM) recorded Non-Current Assets of $78.3 million in Q2 2026, down 0.3% from $78.51 million a year earlier and unchanged from the prior quarter.
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Analysis
Neuronetics (STIM) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Neuronetics reported Non-Current Assets of $80 million, down 3.4% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 42.4% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $82.78 million in FY2024 (+275.6%), $22.04 million in FY2023 (+21.7%), $18.12 million in FY2022 (-30.0%) and $25.89 million in FY2021 (+89.8%).
- Quarterly Non-Current Assets has ranged from $18.12 million in Q4 2022 to $82.78 million in Q4 2024 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for three consecutive quarters, with growth averaging 136.4% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 290.1% in Q3 2025, against a decline of 30.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $78.27 million (Q1 2026), $80 million (Q4 2025) and $80.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Neuronetics | 179.82 Mn | 95.06 Mn | 21.22 Mn | 78.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.30 Mn |
| Mar 31, 2026 | 78.27 Mn |
| Dec 31, 2025 | 80.00 Mn |
| Sep 30, 2025 | 80.58 Mn |
| Jun 30, 2025 | 78.51 Mn |
| Mar 31, 2025 | 81.32 Mn |
| Dec 31, 2024 | 82.78 Mn |
| Sep 30, 2024 | 20.66 Mn |
| Jun 30, 2024 | 21.31 Mn |
| Mar 31, 2024 | 21.95 Mn |
| Dec 31, 2023 | 22.04 Mn |
| Sep 30, 2023 | 21.98 Mn |
| Jun 30, 2023 | 22.72 Mn |
| Mar 31, 2023 | 22.50 Mn |
| Dec 31, 2022 | 18.12 Mn |
| Sep 30, 2022 | 18.14 Mn |
| Jun 30, 2022 | 27.87 Mn |
| Mar 31, 2022 | 26.83 Mn |
| Dec 31, 2021 | 25.89 Mn |
| Sep 30, 2021 | 23.62 Mn |
API Access
Neuronetics Non-Current Assets 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-assets&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();