Neuronetics (STIM) Cash & Equivalents (2017 - 2026)
Neuronetics (STIM) recorded Cash & Equivalents of $19.2 million in Q2 2026, up 75.0% from $10.97 million a year earlier and up 45.3% from the prior quarter.
Neuronetics (STIM) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Neuronetics reported Cash & Equivalents of $28.13 million, up 52.4% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $18.46 million in FY2024 (-69.1%), $59.68 million in FY2023 (-15.2%), $70.34 million in FY2022 (-25.3%) and $94.14 million in FY2021 (+92.3%).
- Quarterly Cash & Equivalents has ranged from $10.97 million in Q2 2025 to $99.43 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 14.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 96.0% in Q3 2021, against a decline of 74.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.21 million (Q1 2026), $28.13 million (Q4 2025) and $28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Neuronetics | 164.58 Mn | 79.82 Mn | 21.22 Mn | 19.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.20 Mn |
| Mar 31, 2026 | 13.21 Mn |
| Dec 31, 2025 | 28.13 Mn |
| Sep 30, 2025 | 28.00 Mn |
| Jun 30, 2025 | 10.97 Mn |
| Mar 31, 2025 | 20.22 Mn |
| Dec 31, 2024 | 18.46 Mn |
| Sep 30, 2024 | 20.87 Mn |
| Jun 30, 2024 | 42.64 Mn |
| Mar 31, 2024 | 47.73 Mn |
| Dec 31, 2023 | 59.68 Mn |
| Sep 30, 2023 | 35.85 Mn |
| Jun 30, 2023 | 45.91 Mn |
| Mar 31, 2023 | 55.44 Mn |
| Dec 31, 2022 | 70.34 Mn |
| Sep 30, 2022 | 73.70 Mn |
| Jun 30, 2022 | 70.93 Mn |
| Mar 31, 2022 | 80.84 Mn |
| Dec 31, 2021 | 94.14 Mn |
| Sep 30, 2021 | 99.43 Mn |
Neuronetics Cash & Equivalents 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=cash-and-equivalents&ticker=STIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();