LPL Financial Holdings (LPLA) Capital Expenditures (2009 - 2026)
LPL Financial Holdings' Capital Expenditures was $199.45 million in Q2 2026, up 45.6% from $136.99 million a year earlier and up 20.3% from the prior quarter.
LPL Financial Holdings (LPLA) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, LPL Financial Holdings' Capital Expenditures was $679.13 million through Jun 30, 2026, up 19.3% year-over-year; for FY2025, it was $570.38 million, up 1.4% from FY2024.
- Capital Expenditures has now increased for five consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $562.53 million in FY2024 (+39.5%), $403.29 million in FY2023 (+31.5%), $306.6 million in FY2022 (+42.0%) and $215.99 million in FY2021 (+38.9%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures in data going back to Q3 2010.
- Compared with a year earlier, Capital Expenditures has increased for three straight quarters, with growth averaging 25.1% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2022 (growth of 78.9%); the worst was Q3 2025 (a decline of 3.3%).
- Per Business Quant data, LPLA's Capital Expenditures in the three quarters before Q2 2026 was $165.76 million (Q1 2026), $171.68 million (Q4 2025) and $142.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 15.80 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 683.00 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 110.00 Mn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 10.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 62.00 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 345.00 Mn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 24.10 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 44.00 Mn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 22.20 Mn |
| 10 | LPL Financial Holdings | 22.77 Bn | 18.38 Bn | - | 229.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 229.69 Mn |
| Jun 30, 2026 | 199.45 Mn |
| Mar 31, 2026 | 165.76 Mn |
| Dec 31, 2025 | 171.68 Mn |
| Sep 30, 2025 | 142.24 Mn |
| Jun 30, 2025 | 136.99 Mn |
| Mar 31, 2025 | 119.47 Mn |
| Dec 31, 2024 | 165.52 Mn |
| Sep 30, 2024 | 147.06 Mn |
| Jun 30, 2024 | 128.92 Mn |
| Mar 31, 2024 | 121.02 Mn |
| Dec 31, 2023 | 105.85 Mn |
| Sep 30, 2023 | 95.04 Mn |
| Jun 30, 2023 | 101.14 Mn |
| Mar 31, 2023 | 101.25 Mn |
| Dec 31, 2022 | 74.42 Mn |
| Sep 30, 2022 | 82.37 Mn |
| Jun 30, 2022 | 76.26 Mn |
| Mar 31, 2022 | 73.55 Mn |
| Dec 31, 2021 | 76.03 Mn |
LPL Financial Holdings 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=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "LPLA", "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=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();