Neuronetics (STIM) Depreciation & Amortization (CF) (2017 - 2026)
Neuronetics' Depreciation & Amortization (CF) came in at $729,000 for Q2 2026, down 19.1% from $901,000 a year earlier and down 2.1% from the prior quarter.
Neuronetics (STIM) Depreciation & Amortization (CF) (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neuronetics reported Depreciation & Amortization (CF) of $3.13 million, up 12.9% year-over-year; for FY2025, it was $3.47 million, up 67.1% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last five years, with a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $2.07 million in FY2024 (+3.3%), $2.01 million in FY2023 (+21.7%), $1.65 million in FY2022 (+55.5%) and $1.06 million in FY2021 (+12.6%).
- The Q2 2026 figure represents the lowest quarterly Depreciation & Amortization (CF) since Q4 2024.
- Year-over-year, Depreciation & Amortization (CF) increased in five of the last eight quarters, with growth averaging 28.0%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q4 2022 (growth of 106.8%), and the weakest in Q2 2026 (a decline of 19.1%).
- Business Quant data shows STIM's Depreciation & Amortization (CF) at $745,000 (Q1 2026), $767,000 (Q4 2025) and $886,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 361.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 44.90 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 259.00 Mn |
| 10 | Neuronetics | 156.23 Mn | 77.27 Mn | 21.89 Mn | 742,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 742,000.00 |
| Jun 30, 2026 | 729,000.00 |
| Mar 31, 2026 | 745,000.00 |
| Dec 31, 2025 | 767,000.00 |
| Sep 30, 2025 | 886,000.00 |
| Jun 30, 2025 | 901,000.00 |
| Mar 31, 2025 | 911,000.00 |
| Dec 31, 2024 | 446,000.00 |
| Sep 30, 2024 | 512,000.00 |
| Jun 30, 2024 | 555,000.00 |
| Mar 31, 2024 | 560,000.00 |
| Dec 31, 2023 | 503,000.00 |
| Sep 30, 2023 | 499,000.00 |
| Jun 30, 2023 | 488,000.00 |
| Mar 31, 2023 | 516,000.00 |
| Dec 31, 2022 | 604,000.00 |
| Sep 30, 2022 | 387,000.00 |
| Jun 30, 2022 | 338,000.00 |
| Mar 31, 2022 | 319,000.00 |
| Dec 31, 2021 | 292,000.00 |
Neuronetics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=STIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=STIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();