NextPlat (NXPL) Operating Expenses (2010 - 2026)
NextPlat (NXPL) recorded Operating Expenses of $4.82 million in Q2 2026, up 2.3% from $4.71 million a year earlier and up 6.8% from the prior quarter.
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Analysis
NextPlat (NXPL) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, NextPlat's Operating Expenses came in at -$1.84 million as of Jun 30, 2026; for FY2025, it came in at $19.91 million, down 50.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $40.03 million in FY2024 (+15.9%), $34.54 million in FY2023 (+256.4%), $9.69 million in FY2022 (+14.3%) and $8.48 million in FY2021 (+160.2%).
- Quarterly Operating Expenses has ranged from -$30.55 million in Q4 2024 to $27.89 million in Q2 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with an average decline of 20.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 560.0% in Q3 2023, against a decline of 83.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.52 million (Q1 2026), -$26.91 million (Q4 2025) and $15.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | NextPlat | 24.55 Mn | -25.93 Mn | 4.69 Mn | 4.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.82 Mn |
| Mar 31, 2026 | 4.52 Mn |
| Dec 31, 2025 | -26.91 Mn |
| Sep 30, 2025 | 15.74 Mn |
| Jun 30, 2025 | 4.71 Mn |
| Mar 31, 2025 | 4.95 Mn |
| Dec 31, 2024 | -30.55 Mn |
| Sep 30, 2024 | 23.37 Mn |
| Jun 30, 2024 | 27.89 Mn |
| Mar 31, 2024 | 6.71 Mn |
| Dec 31, 2023 | 5.34 Mn |
| Sep 30, 2023 | 18.77 Mn |
| Jun 30, 2023 | 6.31 Mn |
| Mar 31, 2023 | 4.11 Mn |
| Dec 31, 2022 | 3.11 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 1.64 Mn |
| Dec 31, 2021 | 3.92 Mn |
| Sep 30, 2021 | 2.73 Mn |
API Access
NextPlat Operating 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=operating-expenses&ticker=NXPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NXPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=NXPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();