PJT Partners (PJT) Net Long-Term Debt Issued (Repaid) (2016 - 2021)
PJT Partners (PJT) posted Non-Current Debt of $25 million for Q1 2022.
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Analysis
PJT Partners (PJT) Net Long-Term Debt Issued (Repaid) (2016 - 2021) Analysis & Trends
At the end of FY2019, PJT Partners' Non-Current Debt came in at $21.5 million, down 28.3% from FY2018.
- In prior years, PJT Partners' Non-Current Debt was $30 million in FY2018.
- The Q1 2022 figure stands as the highest quarterly Non-Current Debt since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | - |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 3.74 Bn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | - |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | - |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | - |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | -270.00 Mn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | - |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | - |
| 10 | PJT Partners | 3.96 Bn | 2.62 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | -10,000.00 |
| Jun 30, 2021 | -12,000.00 |
| Mar 31, 2021 | -15,000.00 |
| Dec 31, 2020 | 129,000.00 |
| Sep 30, 2020 | -51,000.00 |
| Jun 30, 2020 | -39,000.00 |
| Mar 31, 2020 | -21.54 Mn |
| Dec 31, 2019 | -4.14 Mn |
| Sep 30, 2019 | -4.29 Mn |
| Jun 30, 2019 | -30,000.00 |
| Mar 31, 2019 | -40,000.00 |
| Dec 31, 2018 | -30,000.00 |
| Sep 30, 2018 | -25,000.00 |
| Jun 30, 2018 | -26,000.00 |
| Mar 31, 2018 | -25,000.00 |
| Dec 31, 2017 | -25,000.00 |
| Sep 30, 2017 | -25,000.00 |
| Jun 30, 2017 | -24,000.00 |
| Mar 31, 2017 | -23,000.00 |
| Dec 31, 2016 | -22,000.00 |
API Access
PJT Partners Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=PJT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();