Nuwellis (NUWE) Operating Expenses (2011 - 2026)
Nuwellis' Operating Expenses came in at $4.67 million for Q2 2026, up 20.8% from $3.86 million a year earlier but down 25.4% from the prior quarter.
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Analysis
Nuwellis (NUWE) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nuwellis reported Operating Expenses of $19.16 million, up 28.4% year-over-year; for FY2025, it was $16.23 million, down 2.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $16.66 million in FY2024 (-26.3%), $22.61 million in FY2023 (+3.1%), $21.93 million in FY2022 (-8.7%) and $24.02 million in FY2021 (+13.9%).
- The five-year range for quarterly Operating Expenses is $3.19 million (Q3 2024) to $6.92 million (Q1 2023).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 51.5%), and the weakest in Q2 2024 (a decline of 38.5%).
- Business Quant data shows NUWE's Operating Expenses at $6.25 million (Q1 2026), $4.1 million (Q4 2025) and $4.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Nuwellis | 135,932.25 | -10.05 Mn | 1.50 Mn | 4.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.67 Mn |
| Mar 31, 2026 | 6.25 Mn |
| Dec 31, 2025 | 4.10 Mn |
| Sep 30, 2025 | 4.14 Mn |
| Jun 30, 2025 | 3.86 Mn |
| Mar 31, 2025 | 4.13 Mn |
| Dec 31, 2024 | 3.74 Mn |
| Sep 30, 2024 | 3.19 Mn |
| Jun 30, 2024 | 3.79 Mn |
| Mar 31, 2024 | 5.94 Mn |
| Dec 31, 2023 | 4.98 Mn |
| Sep 30, 2023 | 4.55 Mn |
| Jun 30, 2023 | 6.17 Mn |
| Mar 31, 2023 | 6.92 Mn |
| Dec 31, 2022 | 5.87 Mn |
| Sep 30, 2022 | 5.18 Mn |
| Jun 30, 2022 | 5.36 Mn |
| Mar 31, 2022 | 5.52 Mn |
| Dec 31, 2021 | 5.23 Mn |
| Sep 30, 2021 | 6.37 Mn |
API Access
Nuwellis 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=NUWE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NUWE", "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=NUWE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();