LPL Financial Holdings (LPLA) Tax Provisions (2009 - 2026)
LPL Financial Holdings (LPLA) recorded Tax Provisions of $128.57 million in Q3 2026, compared with -$4.59 million a year earlier and down 5.6% from the prior quarter.
LPL Financial Holdings (LPLA) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, LPL Financial Holdings' Tax Provisions came in at $489.83 million as of Sep 30, 2026, up 88.3% year-over-year; for FY2025, it was $286.48 million, down 14.3% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $334.28 million in FY2024 (-11.7%), $378.53 million in FY2023 (+42.3%), $265.95 million in FY2022 (+88.0%) and $141.46 million in FY2021 (-7.8%).
- Quarterly Tax Provisions has ranged from -$4.59 million in Q3 2025 to $136.24 million in Q2 2026 over the past five years.
- On a year-over-year basis, Tax Provisions rose in five of the last six quarters, with growth averaging 21.4%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 251.6% in Q4 2022, against a decline of 23.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $136.24 million (Q2 2026), $128.18 million (Q1 2026) and $96.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 317.90 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 499.00 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 286.00 Mn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 149.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 162.00 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 298.00 Mn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 126.30 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 148.00 Mn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 153.60 Mn |
| 10 | LPL Financial Holdings | 22.77 Bn | 18.38 Bn | - | 128.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 128.57 Mn |
| Jun 30, 2026 | 136.24 Mn |
| Mar 31, 2026 | 128.18 Mn |
| Dec 31, 2025 | 96.84 Mn |
| Sep 30, 2025 | -4.59 Mn |
| Jun 30, 2025 | 95.56 Mn |
| Mar 31, 2025 | 98.68 Mn |
| Dec 31, 2024 | 70.53 Mn |
| Sep 30, 2024 | 92.05 Mn |
| Jun 30, 2024 | 86.27 Mn |
| Mar 31, 2024 | 85.43 Mn |
| Dec 31, 2023 | 76.23 Mn |
| Sep 30, 2023 | 93.38 Mn |
| Jun 30, 2023 | 103.30 Mn |
| Mar 31, 2023 | 105.61 Mn |
| Dec 31, 2022 | 100.14 Mn |
| Sep 30, 2022 | 74.40 Mn |
| Jun 30, 2022 | 51.78 Mn |
| Mar 31, 2022 | 39.64 Mn |
| Dec 31, 2021 | 28.48 Mn |
LPL Financial Holdings Tax Provisions 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=tax-provisions&ticker=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();