PJT Partners (PJT) Return on Sales [ROS] (2014 - 2026)
PJT Partners (PJT) posted Return on Sales [ROS] of 20.99% for Q2 2026, up 2.20 percentage points from 18.80% a year earlier and up 1.77 percentage points from the prior quarter.
PJT Partners (PJT) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at PJT Partners was 21.01%, up 2.68 percentage points year-over-year; for FY2025, it was 20.01%, up 1.89 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -3.55 percentage points (FY2020 to FY2025).
- In prior years, PJT Partners' Return on Sales [ROS] was 18.12% in FY2024 (+2.72 pp), 15.40% in FY2023 (-4.22 pp), 19.63% in FY2022 (-2.50 pp) and 22.12% in FY2021 (-1.44 pp).
- Quarterly Return on Sales [ROS] has run from a low of 14.60% in Q1 2023 to a high of 23.89% in Q4 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +2.28 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 5.82 percentage points; the weakest was Q1 2023, with a drop of 5.76 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 19.22% (Q1 2026), 22.97% (Q4 2025) and 20.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.07 Bn | 98.17 Bn | - | 64.89% |
| 2 | Intercontinental Exchange | 91.87 Bn | 85.60 Bn | - | 38.52% |
| 3 | Robinhood Markets | 86.69 Bn | 67.72 Bn | - | 66.36% |
| 4 | Nasdaq | 57.28 Bn | 54.72 Bn | 1.48 Bn | 30.59% |
| 5 | Interactive Brokers | 36.53 Bn | 13.64 Bn | - | 138.98% |
| 6 | Cboe Global Markets | 35.55 Bn | 27.20 Bn | 731.60 Mn | 32.99% |
| 7 | Tradeweb Markets | 25.97 Bn | 17.98 Bn | - | 43.88% |
| 8 | LPL Financial Holdings | 25.14 Bn | 20.46 Bn | - | 11.90% |
| 9 | Circle Internet | 21.57 Bn | 15.45 Bn | 288.85 Mn | 4.90% |
| 10 | PJT Partners | 3.77 Bn | 2.28 Bn | - | 20.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.99% |
| Mar 31, 2026 | 19.22% |
| Dec 31, 2025 | 22.97% |
| Sep 30, 2025 | 20.34% |
| Jun 30, 2025 | 18.80% |
| Mar 31, 2025 | 16.20% |
| Dec 31, 2024 | 21.56% |
| Sep 30, 2024 | 15.13% |
| Jun 30, 2024 | 17.88% |
| Mar 31, 2024 | 16.36% |
| Dec 31, 2023 | 15.73% |
| Sep 30, 2023 | 15.29% |
| Jun 30, 2023 | 15.64% |
| Mar 31, 2023 | 14.60% |
| Dec 31, 2022 | 21.35% |
| Sep 30, 2022 | 17.90% |
| Jun 30, 2022 | 18.74% |
| Mar 31, 2022 | 20.36% |
| Dec 31, 2021 | 23.89% |
| Sep 30, 2021 | 20.87% |
PJT 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=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PJT", "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=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();