SeaStar Medical Holding (ICU) Operating Expenses (2021 - 2026)
SeaStar Medical Holding (ICU) posted Operating Expenses of $4.35 million for Q2 2026, up 110.5% from $2.07 million a year earlier and up 7.4% from the prior quarter.
SeaStar Medical Holding (ICU) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at SeaStar Medical Holding was $15.58 million, up 0.2% year-over-year; for FY2025, it was $13.36 million, down 25.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 380.1% (FY2020 to FY2025).
- In prior years, SeaStar Medical Holding's Operating Expenses was $17.98 million in FY2024 (+26.5%), $14.21 million in FY2023 (+22.4%), $11.61 million in FY2022 (+160.9%) and $4.45 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 16.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 724.4%; the weakest was Q4 2023, with a decline of 61.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.05 million (Q1 2026), $3.42 million (Q4 2025) and $3.75 million (Q3 2025).
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 | SeaStar Medical Holding | 15.17 Mn | -26.96 Mn | 561,000.00 | 4.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.35 Mn |
| Mar 31, 2026 | 4.05 Mn |
| Dec 31, 2025 | 3.42 Mn |
| Sep 30, 2025 | 3.75 Mn |
| Jun 30, 2025 | 2.07 Mn |
| Mar 31, 2025 | 4.12 Mn |
| Dec 31, 2024 | 4.83 Mn |
| Sep 30, 2024 | 4.52 Mn |
| Jun 30, 2024 | 4.67 Mn |
| Mar 31, 2024 | 3.95 Mn |
| Dec 31, 2023 | 2.94 Mn |
| Sep 30, 2023 | 2.94 Mn |
| Jun 30, 2023 | 3.75 Mn |
| Mar 31, 2023 | 4.58 Mn |
| Dec 31, 2022 | 7.72 Mn |
| Sep 30, 2022 | 1.77 Mn |
| Jun 30, 2022 | 1.31 Mn |
| Mar 31, 2022 | 812,000.00 |
| Dec 31, 2021 | 935,927.00 |
| Sep 30, 2021 | 411,398.00 |
SeaStar Medical Holding 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=ICU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ICU", "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=ICU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();