LPL Financial Holdings (LPLA) Other Operating Expenses (2009 - 2026)
LPL Financial Holdings (LPLA) posted Other Operating Expenses of $4.1 billion for Q2 2026, up 39.3% from $2.95 billion a year earlier and up 5.8% from the prior quarter.
LPL Financial Holdings (LPLA) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at LPL Financial Holdings was $15.73 billion, up 46.5% year-over-year; for FY2025, it was $13.46 billion, up 45.1% from FY2024.
- Annual Other Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In prior years, LPL Financial Holdings' Other Operating Expenses was $9.27 billion in FY2024 (+28.9%), $7.19 billion in FY2023 (+13.4%), $6.34 billion in FY2022 (+3.6%) and $6.12 billion in FY2021 (+38.5%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 14 quarters, with growth averaging 40.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2025, with growth of 61.6%; the weakest was Q4 2022, with a decline of 4.8%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $3.88 billion (Q1 2026), $3.95 billion (Q4 2025) and $3.79 billion (Q3 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 | 60.22 Mn |
| Jun 30, 2026 | 51.60 Mn |
| Mar 31, 2026 | 64.38 Mn |
| Dec 31, 2025 | 64.84 Mn |
| Sep 30, 2025 | 54.61 Mn |
| Jun 30, 2025 | 51.19 Mn |
| Mar 31, 2025 | 48.69 Mn |
| Dec 31, 2024 | 58.87 Mn |
| Sep 30, 2024 | 59.72 Mn |
| Jun 30, 2024 | 62.58 Mn |
| Mar 31, 2024 | 37.32 Mn |
| Dec 31, 2023 | 66.18 Mn |
| Sep 30, 2023 | 75.66 Mn |
| Jun 30, 2023 | 34.18 Mn |
| Mar 31, 2023 | 33.42 Mn |
| Dec 31, 2022 | 38.70 Mn |
| Sep 30, 2022 | 31.56 Mn |
| Jun 30, 2022 | 36.26 Mn |
| Mar 31, 2022 | 37.42 Mn |
| Dec 31, 2021 | 38.69 Mn |
LPL Financial Holdings Other 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=other-operating-expenses&ticker=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();