PJT Partners (PJT) Other Operating Expenses (2014 - 2026)
PJT Partners' Other Operating Expenses came in at $13.02 million for Q2 2026, up 13.8% from $11.45 million a year earlier but down 3.2% from the prior quarter.
PJT Partners (PJT) Other Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, PJT Partners reported Other Operating Expenses of $49.86 million, up 15.7% year-over-year; for FY2025, it was $45.99 million, up 22.3% from FY2024.
- Other Operating Expenses has increased in each of the last eight years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $37.62 million in FY2024 (+2.8%), $36.58 million in FY2023 (+20.3%), $30.4 million in FY2022 (+11.7%) and $27.21 million in FY2021 (+2.4%).
- The five-year range for quarterly Other Operating Expenses is $3.19 million (Q4 2021) to $13.45 million (Q1 2026).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2022 (growth of 169.7%), and the weakest in Q4 2021 (a decline of 40.9%).
- Business Quant data shows PJT's Other Operating Expenses at $13.45 million (Q1 2026), $13.01 million (Q4 2025) and $10.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn |
| 10 | PJT Partners | 3.66 Bn | 2.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.33 Mn |
| Mar 31, 2026 | 18.74 Mn |
| Dec 31, 2025 | 16.43 Mn |
| Sep 30, 2025 | 15.70 Mn |
| Jun 30, 2025 | 16.64 Mn |
| Mar 31, 2025 | 17.16 Mn |
| Dec 31, 2024 | 13.55 Mn |
| Sep 30, 2024 | 15.17 Mn |
| Jun 30, 2024 | 12.88 Mn |
| Mar 31, 2024 | 14.69 Mn |
| Dec 31, 2023 | 7.11 Mn |
| Sep 30, 2023 | 14.21 Mn |
| Jun 30, 2023 | 16.76 Mn |
| Mar 31, 2023 | 13.29 Mn |
| Dec 31, 2022 | 17.35 Mn |
| Sep 30, 2022 | 15.85 Mn |
| Jun 30, 2022 | 14.65 Mn |
| Mar 31, 2022 | 12.22 Mn |
| Dec 31, 2021 | 12.44 Mn |
| Sep 30, 2021 | 10.01 Mn |
PJT Partners Other Operating Expenses 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=other-operating-expenses&ticker=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();