Neuronetics (STIM) Non Operating Interest Expenses (2017 - 2026)
Neuronetics' Non Operating Interest Expenses came in at $2.13 million for Q2 2026, up 7.9% from $1.97 million a year earlier but down 6.2% from the prior quarter.
Neuronetics (STIM) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neuronetics reported Non Operating Interest Expenses of $8.92 million, up 20.9% year-over-year; for FY2025, it came in at $8.42 million, up 15.5% from FY2024.
- Non Operating Interest Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $7.29 million in FY2024 (+34.3%), $5.42 million in FY2023 (+27.6%), $4.25 million in FY2022 (+5.8%) and $4.02 million in FY2021 (-11.1%).
- The five-year range for quarterly Non Operating Interest Expenses is $978,000 (Q1 2022) to $2.32 million (Q4 2025).
- Year-over-year, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 16.4% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2024 (growth of 72.9%), and the weakest in Q4 2024 (a decline of 4.7%).
- Business Quant data shows STIM's Non Operating Interest Expenses at $2.27 million (Q1 2026), $2.32 million (Q4 2025) and $2.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | - |
| 10 | Neuronetics | 156.23 Mn | 77.27 Mn | 21.89 Mn | 2.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.14 Mn |
| Jun 30, 2026 | 2.13 Mn |
| Mar 31, 2026 | 2.27 Mn |
| Dec 31, 2025 | 2.32 Mn |
| Sep 30, 2025 | 2.21 Mn |
| Jun 30, 2025 | 1.97 Mn |
| Mar 31, 2025 | 1.92 Mn |
| Dec 31, 2024 | 1.76 Mn |
| Sep 30, 2024 | 1.73 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | 1.83 Mn |
| Dec 31, 2023 | 1.84 Mn |
| Sep 30, 2023 | 1.18 Mn |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.21 Mn |
| Sep 30, 2022 | 1.06 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 978,000.00 |
| Dec 31, 2021 | 1.06 Mn |
Neuronetics Non Operating Interest Expenses 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-operating-interest-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();