Neuraxis (NRXS) Change in Accrued Expenses (2022 - 2026)
Neuraxis (NRXS) reported Change in Accrued Expenses of $24,066 for Q3 2026, down 82.6% from $138,170 a year earlier.
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Analysis
Neuraxis (NRXS) Change in Accrued Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Neuraxis' Change in Accrued Expenses came in at $580,674, down 20.1% year-over-year; for FY2025, it was $1.08 million, up 14.0% from FY2024.
- Change in Accrued Expenses has a three-year compound annual growth rate of 58.4% (FY2022 to FY2025).
- By year, Change in Accrued Expenses came in at $949,693 in FY2024, -$294,154 in FY2023 and $272,425 in FY2022.
- Five-year quarterly Change in Accrued Expenses spans a low of -$755,499 in Q3 2023 and a high of $592,114 in Q2 2024.
- Year over year, Change in Accrued Expenses gained in two of the last six quarters, with an average decline of 2.1%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q4 2023 (growth of 645.2%); the low point was Q3 2026 (a decline of 82.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at -$48,350 (Q2 2026), $68,213 (Q1 2026) and $536,745 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Neuraxis | 75.94 Mn | 51.10 Mn | 1.76 Mn | 24,066.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24,066.00 |
| Jun 30, 2026 | -48,350.00 |
| Mar 31, 2026 | 68,213.00 |
| Dec 31, 2025 | 536,745.00 |
| Sep 30, 2025 | 138,170.00 |
| Jun 30, 2025 | 251,028.00 |
| Mar 31, 2025 | 156,784.00 |
| Dec 31, 2024 | 181,007.00 |
| Sep 30, 2024 | -238,822.00 |
| Jun 30, 2024 | 592,114.00 |
| Mar 31, 2024 | 415,394.00 |
| Dec 31, 2023 | 121,027.00 |
| Sep 30, 2023 | -755,499.00 |
| Jun 30, 2023 | 153,489.00 |
| Mar 31, 2023 | 186,829.00 |
| Dec 31, 2022 | 16,241.00 |
| Sep 30, 2022 | -10,302.00 |
API Access
Neuraxis Change in Accrued 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=change-in-accured-expenses&ticker=NRXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NRXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();