NextCure (NXTC) Operating Expenses (2018 - 2026)
NextCure (NXTC) posted Operating Expenses of $15.09 million for Q2 2026, down 44.7% from $27.29 million a year earlier but up 49.4% from the prior quarter.
NextCure (NXTC) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at NextCure was $43.9 million, down 31.3% year-over-year; for FY2025, it came in at $57.62 million, down 3.6% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, NextCure's Operating Expenses was $59.75 million in FY2024 (-11.7%), $67.64 million in FY2023 (-10.9%), $75.91 million in FY2022 (+7.3%) and $70.77 million in FY2021 (+11.3%).
- Quarterly Operating Expenses has run from a low of $8.95 million in Q3 2025 to a high of $27.29 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with an average decline of 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 65.5%; the weakest was Q2 2026, with a decline of 44.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $10.11 million (Q1 2026), $9.76 million (Q4 2025) and $8.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.38 Bn | 1,098.96 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 613.84 Bn | 532.37 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 502.13 Bn | 475.24 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.76 Bn | 322.14 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.08 Bn | 262.07 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 262.03 Bn | 235.71 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.81 Bn | 191.21 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.97 Bn | 165.17 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 6.68 Bn |
| 10 | NextCure | 29.75 Mn | -91.01 Mn | - | 15.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.09 Mn |
| Mar 31, 2026 | 10.11 Mn |
| Dec 31, 2025 | 9.76 Mn |
| Sep 30, 2025 | 8.95 Mn |
| Jun 30, 2025 | 27.29 Mn |
| Mar 31, 2025 | 11.62 Mn |
| Dec 31, 2024 | 12.46 Mn |
| Sep 30, 2024 | 12.50 Mn |
| Jun 30, 2024 | 16.49 Mn |
| Mar 31, 2024 | 18.30 Mn |
| Dec 31, 2023 | 15.79 Mn |
| Sep 30, 2023 | 15.62 Mn |
| Jun 30, 2023 | 19.16 Mn |
| Mar 31, 2023 | 17.07 Mn |
| Dec 31, 2022 | 17.77 Mn |
| Sep 30, 2022 | 19.24 Mn |
| Jun 30, 2022 | 18.13 Mn |
| Mar 31, 2022 | 20.77 Mn |
| Dec 31, 2021 | 17.07 Mn |
| Sep 30, 2021 | 18.51 Mn |
NextCure 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=NXTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NXTC", "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=NXTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();