LPL Financial Holdings (LPLA) Interest Expenses (2021 - 2026)
LPL Financial Holdings' Interest Expenses was $101.5 million in Q2 2026, down 3.9% from $105.64 million a year earlier but up 1.2% from the prior quarter.
LPL Financial Holdings (LPLA) Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, LPL Financial Holdings' Interest Expenses was $413.7 million through Jun 30, 2026, up 21.2% year-over-year; for FY2025, it came in at $403.41 million, up 47.1% from FY2024.
- Interest Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $274.18 million in FY2024 (+46.8%), $186.8 million in FY2023 (+48.0%), $126.23 million in FY2022 (+20.9%) and $104.41 million in FY2021 (-1.3%).
- Quarterly Interest Expenses has moved between $27.06 million (Q3 2021) and $106.3 million (Q3 2025) over five years.
- Compared with a year earlier, Interest Expenses was higher in seven of the last eight quarters, with growth averaging 37.1%.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2025 (growth of 64.2%); the worst was Q2 2026 (a decline of 3.9%).
- Per Business Quant data, LPLA's Interest Expenses in the three quarters before Q2 2026 was $100.29 million (Q1 2026), $105.61 million (Q4 2025) and $106.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 4.49 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 1.98 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 1.51 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 101.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.50 Mn |
| Mar 31, 2026 | 100.29 Mn |
| Dec 31, 2025 | 105.61 Mn |
| Sep 30, 2025 | 106.30 Mn |
| Jun 30, 2025 | 105.64 Mn |
| Mar 31, 2025 | 85.86 Mn |
| Dec 31, 2024 | 81.98 Mn |
| Sep 30, 2024 | 67.78 Mn |
| Jun 30, 2024 | 64.34 Mn |
| Mar 31, 2024 | 60.08 Mn |
| Dec 31, 2023 | 54.42 Mn |
| Sep 30, 2023 | 48.36 Mn |
| Jun 30, 2023 | 44.84 Mn |
| Mar 31, 2023 | 39.18 Mn |
| Dec 31, 2022 | 37.08 Mn |
| Sep 30, 2022 | 33.19 Mn |
| Jun 30, 2022 | 28.76 Mn |
| Mar 31, 2022 | 27.21 Mn |
| Dec 31, 2021 | 27.12 Mn |
| Sep 30, 2021 | 27.06 Mn |
LPL Financial Holdings Interest 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=interest-expenses&ticker=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();