PJT Partners (PJT) Total Non-Current Liabilities (2015 - 2026)
PJT Partners' Total Non-Current Liabilities came in at $736.61 million for Q2 2026, up 17.1% from $629.3 million a year earlier and up 22.9% from the prior quarter.
PJT Partners (PJT) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, PJT Partners' Total Non-Current Liabilities was $803.91 million, up 14.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $704.35 million in FY2024 (+29.4%), $544.11 million in FY2023 (+108.6%), $260.78 million in FY2022 (-18.2%) and $318.92 million in FY2021 (-31.3%).
- The five-year range for quarterly Total Non-Current Liabilities is $189.95 million (Q1 2023) to $803.91 million (Q4 2025).
- Year-over-year, Total Non-Current Liabilities has increased for 13 consecutive quarters, with growth averaging 26.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2024 (growth of 132.9%), and the weakest in Q1 2023 (a decline of 31.5%).
- Business Quant data shows PJT's Total Non-Current Liabilities at $599.46 million (Q1 2026), $803.91 million (Q4 2025) and $754.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 167.36 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 24.02 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 46.75 Bn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 15.10 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 224.85 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 4.92 Bn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 11.51 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 584.03 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 73.63 Bn |
| 10 | PJT Partners | 3.67 Bn | 2.19 Bn | - | 736.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 736.61 Mn |
| Mar 31, 2026 | 599.46 Mn |
| Dec 31, 2025 | 803.91 Mn |
| Sep 30, 2025 | 754.37 Mn |
| Jun 30, 2025 | 629.30 Mn |
| Mar 31, 2025 | 539.58 Mn |
| Dec 31, 2024 | 704.35 Mn |
| Sep 30, 2024 | 648.29 Mn |
| Jun 30, 2024 | 539.13 Mn |
| Mar 31, 2024 | 442.42 Mn |
| Dec 31, 2023 | 544.11 Mn |
| Sep 30, 2023 | 351.09 Mn |
| Jun 30, 2023 | 289.67 Mn |
| Mar 31, 2023 | 189.95 Mn |
| Dec 31, 2022 | 260.78 Mn |
| Sep 30, 2022 | 324.26 Mn |
| Jun 30, 2022 | 271.64 Mn |
| Mar 31, 2022 | 277.12 Mn |
| Dec 31, 2021 | 318.92 Mn |
| Sep 30, 2021 | 454.14 Mn |
PJT Partners Total Non-Current 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-non-current-liabilities&ticker=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();