LPL Financial Holdings (LPLA) Cash & Equivalents (2010 - 2026)
LPL Financial Holdings (LPLA) posted Cash & Equivalents of $1.28 billion for Q2 2026, down 69.5% from $4.19 billion a year earlier but up 24.5% from the prior quarter.
LPL Financial Holdings (LPLA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, LPL Financial Holdings' Cash & Equivalents came in at $1.04 billion, up 7.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior years, LPL Financial Holdings' Cash & Equivalents was $967.08 million in FY2024 (+107.7%), $465.67 million in FY2023 (-45.1%), $847.52 million in FY2022 (+71.1%) and $495.25 million in FY2021 (-38.8%).
- Quarterly Cash & Equivalents has run from a low of $465.67 million in Q4 2023 to a high of $4.19 billion in Q2 2025 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 41.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 217.3%; the weakest was Q2 2026, with a decline of 69.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.02 billion (Q1 2026), $1.04 billion (Q4 2025) and $1.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 5.36 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 1.07 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 520.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 7.71 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 2.28 Bn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 1.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 1.34 Bn |
| Jun 30, 2025 | 4.19 Bn |
| Mar 31, 2025 | 1.23 Bn |
| Dec 31, 2024 | 967.08 Mn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 465.67 Mn |
| Sep 30, 2023 | 799.21 Mn |
| Jun 30, 2023 | 761.19 Mn |
| Mar 31, 2023 | 469.79 Mn |
| Dec 31, 2022 | 847.52 Mn |
| Sep 30, 2022 | 1.22 Bn |
| Jun 30, 2022 | 700.40 Mn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 495.25 Mn |
| Sep 30, 2021 | 977.79 Mn |
LPL Financial Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();