LPL Financial Holdings (LPLA) Amortization - Intangibles (2015 - 2026)
LPL Financial Holdings (LPLA) recorded Amortization - Intangibles of $72.84 million in Q3 2026, up 12.6% from $64.71 million a year earlier and up 2.7% from the prior quarter.
LPL Financial Holdings (LPLA) Amortization - Intangibles (2015 - 2026) Analysis & Trends
On a TTM basis, LPL Financial Holdings' Amortization - Intangibles came in at $293.24 million as of Sep 30, 2026, up 48.9% year-over-year; for FY2025, it was $236.6 million, up 75.0% from FY2024.
- Annual Amortization - Intangibles has increased for nine straight years, with a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $135.23 million in FY2024 (+26.1%), $107.21 million in FY2023 (+22.4%), $87.6 million in FY2022 (+10.5%) and $79.3 million in FY2021 (+17.7%).
- Quarterly Amortization - Intangibles has ranged from $20.4 million in Q4 2021 to $82.27 million in Q4 2025 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has increased for 36 consecutive quarters, with growth averaging 57.4% over the last eight quarters.
- The year-over-year growth in Amortization - Intangibles has ranged between 5.4% (Q3 2022) and 99.1% (Q3 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $70.9 million (Q2 2026), $67.23 million (Q1 2026) and $82.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - |
| 10 | LPL Financial Holdings | 22.77 Bn | 18.38 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.84 Mn |
| Jun 30, 2026 | 70.90 Mn |
| Mar 31, 2026 | 67.23 Mn |
| Dec 31, 2025 | 82.27 Mn |
| Sep 30, 2025 | 64.71 Mn |
| Jun 30, 2025 | 46.10 Mn |
| Mar 31, 2025 | 43.52 Mn |
| Dec 31, 2024 | 42.61 Mn |
| Sep 30, 2024 | 32.50 Mn |
| Jun 30, 2024 | 30.61 Mn |
| Mar 31, 2024 | 29.60 Mn |
| Dec 31, 2023 | 28.61 Mn |
| Sep 30, 2023 | 27.80 Mn |
| Jun 30, 2023 | 26.74 Mn |
| Mar 31, 2023 | 24.10 Mn |
| Dec 31, 2022 | 22.58 Mn |
| Sep 30, 2022 | 22.70 Mn |
| Jun 30, 2022 | 21.20 Mn |
| Mar 31, 2022 | 21.20 Mn |
| Dec 31, 2021 | 20.40 Mn |
LPL Financial Holdings Amortization - Intangibles 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=amortization-intangibles&ticker=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();