Perella Weinberg Partners (PWP) Operating Margin (2020 - 2026)
Perella Weinberg Partners (PWP) reported Operating Margin of 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.
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Analysis
Perella Weinberg Partners (PWP) Operating Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Perella Weinberg Partners' Operating Margin came in at 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.
- Operating Margin has a five-year change of +9.21 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -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).
- Five-year quarterly Operating Margin spans a low of -52.45% in Q1 2024 and a high of 12.90% in Q3 2024.
- Year over year, Operating Margin has now declined in each of the last four quarters, with an average year-over-year change of +16.37 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was Q1 2025 (a gain of 57.96 percentage points); the low point was Q1 2024 (a drop of 35.18 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -8.66% (Q1 2026), 8.45% (Q4 2025) and 5.39% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.27 Bn | 94.37 Bn | - | 64.89% |
| 2 | Intercontinental Exchange | 89.30 Bn | 83.04 Bn | - | 38.52% |
| 3 | Robinhood Markets | 88.20 Bn | 69.23 Bn | - | - |
| 4 | Nasdaq | 53.54 Bn | 50.96 Bn | 1.50 Bn | 28.12% |
| 5 | Interactive Brokers | 37.08 Bn | 14.19 Bn | - | - |
| 6 | Cboe Global Markets | 33.13 Bn | 24.79 Bn | 731.60 Mn | 32.99% |
| 7 | LPL Financial Holdings | 25.74 Bn | 21.06 Bn | - | - |
| 8 | Tradeweb Markets | 25.37 Bn | 17.38 Bn | - | 43.88% |
| 9 | Circle Internet | 21.25 Bn | 15.12 Bn | 288.85 Mn | 4.90% |
| 10 | Perella Weinberg Partners | 950.76 Mn | 315.81 Mn | - | 3.23% |
Historic Data
Download Data
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% |
API Access
Perella Weinberg Partners Operating Margin 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=operating-margin&ticker=PWP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=PWP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();