Piper Sandler Companies (PIPR) Return on Sales [ROS] (2010 - 2026)
Piper Sandler Companies' Return on Sales [ROS] came in at 20.24% for Q2 2026, up 7.96 percentage points from 12.27% a year earlier and up 1.73 percentage points from the prior quarter.
Piper Sandler Companies (PIPR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Piper Sandler Companies reported Return on Sales [ROS] of 22.87%, up 9.40 percentage points year-over-year; for FY2025, it came in at 19.74%, up 5.42 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +13.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 14.32% in FY2024 (+4.85 pp), 9.47% in FY2023 (-0.36 pp), 9.83% in FY2022 (-12.21 pp) and 22.05% in FY2021 (+15.73 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1.18% (Q3 2023) to 28.30% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +6.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2024 (a gain of 16.59 percentage points), and the weakest in Q4 2022 (a drop of 15.10 percentage points).
- Business Quant data shows PIPR's Return on Sales [ROS] at 18.51% (Q1 2026), 28.30% (Q4 2025) and 22.38% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 64.89% |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 38.52% |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 66.36% |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 28.12% |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 138.98% |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 32.99% |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 11.90% |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 43.88% |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 4.90% |
| 10 | Piper Sandler Companies | 4.35 Bn | 2.78 Bn | - | 20.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.24% |
| Mar 31, 2026 | 18.51% |
| Dec 31, 2025 | 28.30% |
| Sep 30, 2025 | 22.38% |
| Jun 30, 2025 | 12.27% |
| Mar 31, 2025 | 8.21% |
| Dec 31, 2024 | 16.92% |
| Sep 30, 2024 | 15.41% |
| Jun 30, 2024 | 8.29% |
| Mar 31, 2024 | 15.22% |
| Dec 31, 2023 | 18.10% |
| Sep 30, 2023 | -1.18% |
| Jun 30, 2023 | 4.94% |
| Mar 31, 2023 | 8.59% |
| Dec 31, 2022 | 10.85% |
| Sep 30, 2022 | 5.65% |
| Jun 30, 2022 | 10.48% |
| Mar 31, 2022 | 10.10% |
| Dec 31, 2021 | 25.95% |
| Sep 30, 2021 | 16.89% |
Piper Sandler Companies 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=PIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PIPR", "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=PIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();