Neuronetics (STIM) Interest Expenses (2017 - 2026)
Neuronetics' Interest Expenses was $2.13 million in Q2 2026, up 7.9% from $1.97 million a year earlier but down 6.2% from the prior quarter.
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Analysis
Neuronetics (STIM) Interest Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neuronetics' Interest Expenses was $8.92 million through Jun 30, 2026, up 20.9% year-over-year; for FY2025, it was $8.42 million, up 15.5% from FY2024.
- Interest Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In earlier years, 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%).
- Quarterly Interest Expenses has moved between $978,000 (Q1 2022) and $2.32 million (Q4 2025) over five years.
- Compared with a year earlier, Interest Expenses has increased for four straight quarters, with growth averaging 16.4% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2024 (growth of 72.9%); the worst was Q4 2024 (a decline of 4.7%).
- Per Business Quant data, STIM's Interest Expenses in the three quarters before Q2 2026 was $2.27 million (Q1 2026), $2.32 million (Q4 2025) and $2.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Neuronetics | 178.29 Mn | 93.53 Mn | 21.22 Mn | 2.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 993,000.00 |
API Access
Neuronetics 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=interest-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();