Lexeo Therapeutics (LXEO) Capital Expenditures (2022 - 2026)
Lexeo Therapeutics' Capital Expenditures was $7,000 in Q2 2026, down 80.0% from the prior quarter.
Lexeo Therapeutics (LXEO) Capital Expenditures (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lexeo Therapeutics' Capital Expenditures was $331,000 through Jun 30, 2026; for FY2025, it was $397,000, down 17.5% from FY2024.
- Capital Expenditures shows a three-year compound annual growth rate of -16.1% (FY2022 to FY2025).
- In earlier years, Capital Expenditures was $481,000 in FY2024 (+318.3%), $115,000 in FY2023 (-82.9%) and $672,000 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures in data going back to Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Lexeo Therapeutics | 265.74 Mn | 265.74 Mn | - | 7,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,000.00 |
| Mar 31, 2026 | 35,000.00 |
| Sep 30, 2025 | 289,000.00 |
| Sep 30, 2024 | 83,000.00 |
| Jun 30, 2024 | 213,000.00 |
| Mar 31, 2024 | 185,000.00 |
| Dec 31, 2023 | 42,000.00 |
| Sep 30, 2023 | 19,000.00 |
| Jun 30, 2023 | 42,000.00 |
| Mar 31, 2023 | 12,000.00 |
| Dec 31, 2022 | 25,000.00 |
Lexeo Therapeutics Capital Expenditures 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=capital-expenditures&ticker=LXEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LXEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();