Fulcrum Therapeutics (FULC) Operating Expenses (2018 - 2026)
Fulcrum Therapeutics' Operating Expenses was $29.31 million in Q2 2026, up 47.9% from $19.82 million a year earlier and up 32.1% from the prior quarter.
Fulcrum Therapeutics (FULC) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fulcrum Therapeutics' Operating Expenses was $96.05 million through Jun 30, 2026, up 13.3% year-over-year; for FY2025, it came in at $84.77 million, down 16.8% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $101.9 million in FY2024 (-10.2%), $113.47 million in FY2023 (-4.6%), $118.9 million in FY2022 (+18.6%) and $100.22 million in FY2021 (+24.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2024.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 5.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 50.1%); the worst was Q4 2024 (a decline of 32.7%).
- Per Business Quant data, FULC's Operating Expenses in the three quarters before Q2 2026 was $22.19 million (Q1 2026), $22.69 million (Q4 2025) and $21.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Fulcrum Therapeutics | 280.27 Mn | -63.07 Mn | - | 29.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.31 Mn |
| Mar 31, 2026 | 22.19 Mn |
| Dec 31, 2025 | 22.69 Mn |
| Sep 30, 2025 | 21.86 Mn |
| Jun 30, 2025 | 19.82 Mn |
| Mar 31, 2025 | 20.40 Mn |
| Dec 31, 2024 | 19.43 Mn |
| Sep 30, 2024 | 25.13 Mn |
| Jun 30, 2024 | 27.51 Mn |
| Mar 31, 2024 | 29.83 Mn |
| Dec 31, 2023 | 28.86 Mn |
| Sep 30, 2023 | 28.20 Mn |
| Jun 30, 2023 | 28.17 Mn |
| Mar 31, 2023 | 28.24 Mn |
| Dec 31, 2022 | 28.66 Mn |
| Sep 30, 2022 | 25.54 Mn |
| Jun 30, 2022 | 36.12 Mn |
| Mar 31, 2022 | 28.59 Mn |
| Dec 31, 2021 | 28.62 Mn |
| Sep 30, 2021 | 25.71 Mn |
Fulcrum Therapeutics 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=FULC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FULC", "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=FULC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();