Lucid Diagnostics (LUCD) Operating Expenses (2020 - 2026)
Lucid Diagnostics' Operating Expenses was $14.28 million in Q2 2026, up 13.8% from $12.55 million a year earlier and up 6.8% from the prior quarter.
Lucid Diagnostics (LUCD) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lucid Diagnostics' Operating Expenses was $56.13 million through Jun 30, 2026, up 7.3% year-over-year; for FY2025, it was $54.35 million, up 7.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 45.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $50.4 million in FY2024 (-1.0%), $50.91 million in FY2023 (-10.1%), $56.63 million in FY2022 (+102.8%) and $27.92 million in FY2021 (+237.2%).
- Quarterly Operating Expenses has moved between $6.71 million (Q3 2021) and $15.52 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 7.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 322.6%); the worst was Q1 2024 (a decline of 20.1%).
- Per Business Quant data, LUCD's Operating Expenses in the three quarters before Q2 2026 was $13.37 million (Q1 2026), $15.52 million (Q4 2025) and $12.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Lucid Diagnostics | 154.51 Mn | 11.17 Mn | 55,000.00 | 14.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.28 Mn |
| Mar 31, 2026 | 13.37 Mn |
| Dec 31, 2025 | 15.52 Mn |
| Sep 30, 2025 | 12.97 Mn |
| Jun 30, 2025 | 12.55 Mn |
| Mar 31, 2025 | 13.32 Mn |
| Dec 31, 2024 | 13.57 Mn |
| Sep 30, 2024 | 12.87 Mn |
| Jun 30, 2024 | 12.17 Mn |
| Mar 31, 2024 | 11.79 Mn |
| Dec 31, 2023 | 12.49 Mn |
| Sep 30, 2023 | 11.91 Mn |
| Jun 30, 2023 | 11.74 Mn |
| Mar 31, 2023 | 14.76 Mn |
| Dec 31, 2022 | 15.09 Mn |
| Sep 30, 2022 | 14.45 Mn |
| Jun 30, 2022 | 14.63 Mn |
| Mar 31, 2022 | 12.46 Mn |
| Dec 31, 2021 | 11.54 Mn |
| Sep 30, 2021 | 6.71 Mn |
Lucid Diagnostics 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=LUCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LUCD", "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=LUCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();