PJT Partners (PJT) Total Liabilities (2014 - 2026)
PJT Partners (PJT) recorded Total Liabilities of $772.64 million in Q2 2026, up 16.6% from $662.8 million a year earlier and up 21.9% from the prior quarter.
PJT Partners (PJT) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, PJT Partners reported Total Liabilities of $834.21 million, up 13.7% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $733.69 million in FY2024 (+27.9%), $573.81 million in FY2023 (+97.1%), $291.09 million in FY2022 (-16.8%) and $350.05 million in FY2021 (-27.6%).
- Quarterly Total Liabilities has ranged from $221.66 million in Q1 2023 to $834.21 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 24.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 113.7% in Q1 2024, against a decline of 28.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $634.06 million (Q1 2026), $834.21 million (Q4 2025) and $788.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 168.16 Bn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 144.63 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 47.01 Bn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 15.35 Bn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 225.06 Bn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 4.98 Bn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 14.03 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 912.69 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 73.66 Bn |
| 10 | PJT Partners | 3.65 Bn | 2.17 Bn | - | 772.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 772.64 Mn |
| Mar 31, 2026 | 634.06 Mn |
| Dec 31, 2025 | 834.21 Mn |
| Sep 30, 2025 | 788.70 Mn |
| Jun 30, 2025 | 662.80 Mn |
| Mar 31, 2025 | 572.39 Mn |
| Dec 31, 2024 | 733.69 Mn |
| Sep 30, 2024 | 679.00 Mn |
| Jun 30, 2024 | 570.03 Mn |
| Mar 31, 2024 | 473.64 Mn |
| Dec 31, 2023 | 573.81 Mn |
| Sep 30, 2023 | 383.19 Mn |
| Jun 30, 2023 | 321.91 Mn |
| Mar 31, 2023 | 221.66 Mn |
| Dec 31, 2022 | 291.09 Mn |
| Sep 30, 2022 | 356.08 Mn |
| Jun 30, 2022 | 302.96 Mn |
| Mar 31, 2022 | 308.84 Mn |
| Dec 31, 2021 | 350.05 Mn |
| Sep 30, 2021 | 483.35 Mn |
PJT Partners Total Liabilities 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=total-liabilities&ticker=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();