LPL Financial Holdings (LPLA) Return on Sales [ROS] (2009 - 2026)
LPL Financial Holdings (LPLA) recorded Return on Sales [ROS] of 11.90% in Q2 2026, down 0.48 percentage points from 12.37% a year earlier but up 0.05 percentage points from the prior quarter.
LPL Financial Holdings (LPLA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, LPL Financial Holdings' Return on Sales [ROS] came in at 9.06% as of Jun 30, 2026, down 3.79 percentage points year-over-year; for FY2025, it was 9.14%, down 4.32 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -3.32 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 13.46% in FY2024 (-2.77 pp), 16.23% in FY2023 (+1.84 pp), 14.39% in FY2022 (+5.25 pp) and 9.14% in FY2021 (-3.32 pp).
- Quarterly Return on Sales [ROS] has ranged from 1.59% in Q3 2025 to 20.00% in Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for 12 consecutive quarters, with an average year-over-year change of -2.62 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 11.74 percentage points in Q4 2022, against a drop of 11.77 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 11.84% (Q1 2026), 10.20% (Q4 2025) and 1.59% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 65.70% |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 113.77% |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 38.84% |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 58.57% |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 85.91% |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 39.32% |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 144.98% |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 160.10% |
| 10 | LPL Financial Holdings | 22.77 Bn | 18.38 Bn | - | 11.06% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.06% |
| Jun 30, 2026 | 11.90% |
| Mar 31, 2026 | 11.84% |
| Dec 31, 2025 | 10.20% |
| Sep 30, 2025 | 1.59% |
| Jun 30, 2025 | 12.37% |
| Mar 31, 2025 | 13.71% |
| Dec 31, 2024 | 12.05% |
| Sep 30, 2024 | 13.36% |
| Jun 30, 2024 | 13.45% |
| Mar 31, 2024 | 15.33% |
| Dec 31, 2023 | 13.17% |
| Sep 30, 2023 | 14.51% |
| Jun 30, 2023 | 17.57% |
| Mar 31, 2023 | 20.00% |
| Dec 31, 2022 | 19.56% |
| Sep 30, 2022 | 15.71% |
| Jun 30, 2022 | 11.82% |
| Mar 31, 2022 | 9.71% |
| Dec 31, 2021 | 7.82% |
LPL Financial Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LPLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LPLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();