Lexeo Therapeutics (LXEO) Operating Expenses (2022 - 2026)
Lexeo Therapeutics' Operating Expenses came in at $28.02 million for Q2 2026, down 8.7% from $30.69 million a year earlier but up 25.5% from the prior quarter.
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Analysis
Lexeo Therapeutics (LXEO) Operating Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lexeo Therapeutics reported Operating Expenses of $95.12 million, down 22.9% year-over-year; for FY2025, it was $109.26 million, up 3.3% from FY2024.
- Operating Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 21.3% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $105.77 million in FY2024 (+54.4%), $68.51 million in FY2023 (+12.0%) and $61.16 million in FY2022.
- The five-year range for quarterly Operating Expenses is $13.98 million (Q2 2023) to $33.81 million (Q1 2025).
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with growth averaging 15.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 82.9%), and the weakest in Q1 2026 (a decline of 33.9%).
- Business Quant data shows LXEO's Operating Expenses at $22.33 million (Q1 2026), $23.12 million (Q4 2025) and $21.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Lexeo Therapeutics | 246.87 Mn | 246.87 Mn | - | 28.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.02 Mn |
| Mar 31, 2026 | 22.33 Mn |
| Dec 31, 2025 | 23.12 Mn |
| Sep 30, 2025 | 21.65 Mn |
| Jun 30, 2025 | 30.69 Mn |
| Mar 31, 2025 | 33.81 Mn |
| Dec 31, 2024 | 27.38 Mn |
| Sep 30, 2024 | 31.54 Mn |
| Jun 30, 2024 | 23.55 Mn |
| Mar 31, 2024 | 23.29 Mn |
| Dec 31, 2023 | 14.97 Mn |
| Sep 30, 2023 | 20.27 Mn |
| Jun 30, 2023 | 13.98 Mn |
| Mar 31, 2023 | 19.29 Mn |
| Dec 31, 2022 | 15.20 Mn |
| Sep 30, 2022 | 18.01 Mn |
API Access
Lexeo 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=LXEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LXEO", "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=LXEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();