Neuraxis (NRXS) Depreciation & Amortization (CF) (2022 - 2026)
Neuraxis' Depreciation & Amortization (CF) came in at $16,821 for Q3 2026, up 3.8% from $16,205 a year earlier and up 1.0% from the prior quarter.
Neuraxis (NRXS) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Neuraxis reported Depreciation & Amortization (CF) of $73,843, up 74.6% year-over-year; for FY2025, it was $59,501, up 57.3% from FY2024.
- Depreciation & Amortization (CF) carries a three-year compound annual growth rate of 17.0% (FY2022 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $37,831 in FY2024 (-7.1%), $40,725 in FY2023 (+9.7%) and $37,133 in FY2022.
- The five-year range for quarterly Depreciation & Amortization (CF) is $6,356 (Q1 2025) to $24,055 (Q4 2025).
- Year-over-year, Depreciation & Amortization (CF) has increased for six consecutive quarters, with growth averaging 57.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q4 2025 (growth of 251.1%), and the weakest in Q1 2025 (a decline of 40.8%).
- Business Quant data shows NRXS's Depreciation & Amortization (CF) at $16,650 (Q2 2026), $16,317 (Q1 2026) and $24,055 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 307.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 415.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 187.80 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 120.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 361.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 44.90 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 259.00 Mn |
| 10 | Neuraxis | 75.94 Mn | 51.10 Mn | 1.76 Mn | 16,821.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16,821.00 |
| Jun 30, 2026 | 16,650.00 |
| Mar 31, 2026 | 16,317.00 |
| Dec 31, 2025 | 24,055.00 |
| Sep 30, 2025 | 16,205.00 |
| Jun 30, 2025 | 12,885.00 |
| Mar 31, 2025 | 6,356.00 |
| Dec 31, 2024 | 6,851.00 |
| Sep 30, 2024 | 9,273.00 |
| Jun 30, 2024 | 10,970.00 |
| Mar 31, 2024 | 10,737.00 |
| Dec 31, 2023 | 10,435.00 |
| Sep 30, 2023 | 10,230.00 |
| Jun 30, 2023 | 10,211.00 |
| Mar 31, 2023 | 9,849.00 |
| Dec 31, 2022 | 12,086.00 |
| Sep 30, 2022 | 8,352.00 |
| Jun 30, 2022 | 7,830.00 |
Neuraxis 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=NRXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "NRXS", "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=NRXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();