Delcath Systems (DCTH) Operating Expenses (2011 - 2026)
Delcath Systems (DCTH) posted Operating Expenses of $23.75 million for Q2 2026, up 30.2% from $18.25 million a year earlier and up 3.7% from the prior quarter.
Delcath Systems (DCTH) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Delcath Systems was $84.88 million, up 53.5% year-over-year; for FY2025, it came in at $72.77 million, up 67.6% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- In prior years, Delcath Systems' Operating Expenses was $43.43 million in FY2024 (+9.6%), $39.61 million in FY2023 (+10.4%), $35.89 million in FY2022 (+30.9%) and $27.42 million in FY2021 (+22.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2011.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 41.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 100.3%; the weakest was Q2 2023, with a decline of 17.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $22.9 million (Q1 2026), $19.9 million (Q4 2025) and $18.33 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 | Delcath Systems | 548.98 Mn | 183.80 Mn | 26.15 Mn | 23.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.75 Mn |
| Mar 31, 2026 | 22.90 Mn |
| Dec 31, 2025 | 19.90 Mn |
| Sep 30, 2025 | 18.33 Mn |
| Jun 30, 2025 | 18.25 Mn |
| Mar 31, 2025 | 16.30 Mn |
| Dec 31, 2024 | 9.94 Mn |
| Sep 30, 2024 | 10.82 Mn |
| Jun 30, 2024 | 10.16 Mn |
| Mar 31, 2024 | 12.51 Mn |
| Dec 31, 2023 | 11.67 Mn |
| Sep 30, 2023 | 10.86 Mn |
| Jun 30, 2023 | 8.34 Mn |
| Mar 31, 2023 | 8.74 Mn |
| Dec 31, 2022 | 8.26 Mn |
| Sep 30, 2022 | 8.84 Mn |
| Jun 30, 2022 | 10.10 Mn |
| Mar 31, 2022 | 8.69 Mn |
| Dec 31, 2021 | 6.64 Mn |
| Sep 30, 2021 | 6.99 Mn |
Delcath Systems 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=DCTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DCTH", "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=DCTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();