LPL Financial Holdings (LPLA) Other Accumulated Expenses (2010 - 2026)
LPL Financial Holdings (LPLA) recorded Other Accumulated Expenses of $381.26 million in Q2 2026, up 25.6% from $303.61 million a year earlier and up 3.0% from the prior quarter.
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Analysis
LPL Financial Holdings (LPLA) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, LPL Financial Holdings reported Other Accumulated Expenses of $361.62 million, up 11.6% from FY2024.
- Annual Other Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $324 million in FY2024 (+49.6%), $216.54 million in FY2023 (+6.5%), $203.29 million in FY2022 (-8.6%) and $222.38 million in FY2021 (+18.9%).
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Other Accumulated Expenses has increased for 13 consecutive quarters, with growth averaging 28.4% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 49.6% in Q4 2024, against a decline of 13.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $370.17 million (Q1 2026), $361.62 million (Q4 2025) and $355.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.26 Mn |
| Mar 31, 2026 | 370.17 Mn |
| Dec 31, 2025 | 361.62 Mn |
| Sep 30, 2025 | 355.46 Mn |
| Jun 30, 2025 | 303.61 Mn |
| Mar 31, 2025 | 303.84 Mn |
| Dec 31, 2024 | 324.00 Mn |
| Sep 30, 2024 | 252.88 Mn |
| Jun 30, 2024 | 240.37 Mn |
| Mar 31, 2024 | 232.08 Mn |
| Dec 31, 2023 | 216.54 Mn |
| Sep 30, 2023 | 208.83 Mn |
| Jun 30, 2023 | 208.31 Mn |
| Mar 31, 2023 | 195.61 Mn |
| Dec 31, 2022 | 203.29 Mn |
| Sep 30, 2022 | 194.48 Mn |
| Jun 30, 2022 | 199.69 Mn |
| Mar 31, 2022 | 210.88 Mn |
| Dec 31, 2021 | 222.38 Mn |
| Sep 30, 2021 | 224.44 Mn |
API Access
LPL Financial Holdings Other Accumulated 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-accumulated-expenses&ticker=LPLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();