Perella Weinberg Partners (PWP) Return on Sales [ROS] (2020 - 2026)
Perella Weinberg Partners' Return on Sales [ROS] came in at 3.23% for Q2 2026, down 2.53 percentage points from 5.76% a year earlier but up 11.89 percentage points from the prior quarter.
Perella Weinberg Partners (PWP) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Perella Weinberg Partners reported Return on Sales [ROS] of 2.84%, down 6.11 percentage points year-over-year; for FY2025, it came in at 6.39%, up 15.34 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +9.21 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -8.94% in FY2024 (+8.80 pp), -17.74% in FY2023 (-10.19 pp), -7.56% in FY2022 (-15.86 pp) and 8.31% in FY2021 (+11.12 pp).
- The five-year range for quarterly Return on Sales [ROS] is -52.45% (Q1 2024) to 12.90% (Q3 2024).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of +16.37 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2025 (a gain of 57.96 percentage points), and the weakest in Q1 2024 (a drop of 35.18 percentage points).
- Business Quant data shows PWP's Return on Sales [ROS] at -8.66% (Q1 2026), 8.45% (Q4 2025) and 5.39% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 65.70% |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 119.30% |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 38.52% |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 66.36% |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 83.30% |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 138.98% |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 32.99% |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 191.07% |
| 10 | Perella Weinberg Partners | 1.34 Bn | 1.01 Bn | - | 3.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.23% |
| Mar 31, 2026 | -8.66% |
| Dec 31, 2025 | 8.45% |
| Sep 30, 2025 | 5.39% |
| Jun 30, 2025 | 5.76% |
| Mar 31, 2025 | 5.51% |
| Dec 31, 2024 | 9.47% |
| Sep 30, 2024 | 12.90% |
| Jun 30, 2024 | -30.23% |
| Mar 31, 2024 | -52.45% |
| Dec 31, 2023 | -20.67% |
| Sep 30, 2023 | -19.20% |
| Jun 30, 2023 | -13.14% |
| Mar 31, 2023 | -17.26% |
| Dec 31, 2022 | -10.67% |
| Sep 30, 2022 | -6.07% |
| Jun 30, 2022 | -5.96% |
| Mar 31, 2022 | -6.82% |
| Dec 31, 2021 | -0.31% |
| Sep 30, 2021 | -5.82% |
Perella Weinberg Partners 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=PWP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PWP", "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=PWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();