Apyx Medical (APYX) Change in Accured Expenses (2011 - 2026)
Apyx Medical (APYX) recorded Change in Accured Expenses of $322,000 in Q2 2026, down 25.6% from $433,000 a year earlier.
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Analysis
Apyx Medical (APYX) Change in Accured Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Apyx Medical's Change in Accured Expenses came in at -$805,000 as of Jun 30, 2026; for FY2025, it came in at $209,000.
- Across earlier years, Change in Accured Expenses came in at -$2.27 million in FY2024, $276,000 in FY2023, -$1.21 million in FY2022 and $3.4 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$1.76 million in Q1 2026 to $1.79 million in Q4 2021 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 583.6% in Q4 2021, against a decline of 93.8% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$1.76 million (Q1 2026), $553,000 (Q4 2025) and $79,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 123.70 Mn |
| 10 | Apyx Medical | 101.50 Mn | -13.70 Mn | 8.87 Mn | 322,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322,000.00 |
| Mar 31, 2026 | -1.76 Mn |
| Dec 31, 2025 | 553,000.00 |
| Sep 30, 2025 | 79,000.00 |
| Jun 30, 2025 | 433,000.00 |
| Mar 31, 2025 | -856,000.00 |
| Dec 31, 2024 | 88,000.00 |
| Sep 30, 2024 | -685,000.00 |
| Jun 30, 2024 | -97,000.00 |
| Mar 31, 2024 | -1.57 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 807,000.00 |
| Jun 30, 2023 | -525,000.00 |
| Mar 31, 2023 | -1.44 Mn |
| Dec 31, 2022 | 328,000.00 |
| Sep 30, 2022 | 275,000.00 |
| Jun 30, 2022 | -433,000.00 |
| Mar 31, 2022 | -1.38 Mn |
| Dec 31, 2021 | 1.79 Mn |
| Sep 30, 2021 | 1.05 Mn |
API Access
Apyx Medical Change in Accured 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=APYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "APYX", "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=APYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();