LPL Financial Holdings (LPLA) EBITDA (2009 - 2026)
LPL Financial Holdings (LPLA) reported EBITDA of $801.19 million for Q2 2026, up 28.5% from $623.48 million a year earlier and up 5.2% from the prior quarter.
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Analysis
LPL Financial Holdings (LPLA) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LPL Financial Holdings' EBITDA came in at $2.49 billion, up 5.8% year-over-year; for FY2025, it came in at $2.2 billion, up 3.9% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 19.2% (FY2020 to FY2025).
- By year, EBITDA came in at $2.12 billion in FY2024 (+6.4%), $1.99 billion in FY2023 (+30.2%), $1.53 billion in FY2022 (+62.6%) and $942.2 million in FY2021 (+3.0%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q2 2010.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 12.7% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2022 (growth of 136.4%); the low point was Q3 2025 (a decline of 54.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $761.34 million (Q1 2026), $690.57 million (Q4 2025) and $240.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 1.22 Bn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 6.85 Bn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 1.81 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 860.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 897.00 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 3.67 Bn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 562.00 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 2.79 Bn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 2.40 Bn |
| 10 | LPL Financial Holdings | 22.77 Bn | 18.38 Bn | - | 784.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 784.56 Mn |
| Jun 30, 2026 | 801.19 Mn |
| Mar 31, 2026 | 761.34 Mn |
| Dec 31, 2025 | 694.07 Mn |
| Sep 30, 2025 | 240.13 Mn |
| Jun 30, 2025 | 623.48 Mn |
| Mar 31, 2025 | 646.87 Mn |
| Dec 31, 2024 | 560.74 Mn |
| Sep 30, 2024 | 528.97 Mn |
| Jun 30, 2024 | 498.83 Mn |
| Mar 31, 2024 | 533.71 Mn |
| Dec 31, 2023 | 447.20 Mn |
| Sep 30, 2023 | 460.69 Mn |
| Jun 30, 2023 | 520.80 Mn |
| Mar 31, 2023 | 565.86 Mn |
| Dec 31, 2022 | 535.15 Mn |
| Sep 30, 2022 | 416.14 Mn |
| Jun 30, 2022 | 312.22 Mn |
| Mar 31, 2022 | 268.73 Mn |
| Dec 31, 2021 | 226.39 Mn |
API Access
LPL Financial Holdings EBITDA 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=ebitda&ticker=LPLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();