PJT Partners (PJT) Cash & Equivalents (2014 - 2026)
PJT Partners' Cash & Equivalents was $235.54 million in Q2 2026, up 9.8% from $214.62 million a year earlier but down 23.7% from the prior quarter.
PJT Partners (PJT) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at PJT Partners came in at $538.86 million, up 11.4% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $483.88 million in FY2024 (+36.1%), $355.54 million in FY2023 (+105.2%), $173.24 million in FY2022 (-13.6%) and $200.48 million in FY2021 (-33.1%).
- Quarterly Cash & Equivalents has moved between $75.81 million (Q1 2022) and $538.86 million (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for five straight quarters, with growth averaging 41.8% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2025 (growth of 169.1%); the worst was Q3 2023 (a decline of 38.9%).
- Per Business Quant data, PJT's Cash & Equivalents in the three quarters before Q2 2026 was $308.78 million (Q1 2026), $538.86 million (Q4 2025) and $400.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 2.14 Bn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 1.07 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 5.36 Bn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 520.00 Mn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 7.71 Bn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 2.28 Bn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 1.28 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 2.06 Bn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 1.73 Bn |
| 10 | PJT Partners | 3.65 Bn | 2.17 Bn | - | 235.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.54 Mn |
| Mar 31, 2026 | 308.78 Mn |
| Dec 31, 2025 | 538.86 Mn |
| Sep 30, 2025 | 400.45 Mn |
| Jun 30, 2025 | 214.62 Mn |
| Mar 31, 2025 | 194.27 Mn |
| Dec 31, 2024 | 483.88 Mn |
| Sep 30, 2024 | 148.84 Mn |
| Jun 30, 2024 | 164.20 Mn |
| Mar 31, 2024 | 215.53 Mn |
| Dec 31, 2023 | 355.54 Mn |
| Sep 30, 2023 | 116.04 Mn |
| Jun 30, 2023 | 151.50 Mn |
| Mar 31, 2023 | 93.54 Mn |
| Dec 31, 2022 | 173.24 Mn |
| Sep 30, 2022 | 189.83 Mn |
| Jun 30, 2022 | 147.32 Mn |
| Mar 31, 2022 | 75.81 Mn |
| Dec 31, 2021 | 200.48 Mn |
| Sep 30, 2021 | 261.10 Mn |
PJT Partners Cash & Equivalents 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=cash-and-equivalents&ticker=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();