PJT Partners (PJT) Property, Plant & Equipment (Net) (2014 - 2026)
PJT Partners' Property, Plant & Equipment (Net) was $73.8 million in Q2 2026, up 123.3% from $33.06 million a year earlier and up 11.2% from the prior quarter.
PJT Partners (PJT) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at PJT Partners came in at $61.04 million, up 175.7% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $22.14 million in FY2024 (-14.5%), $25.9 million in FY2023 (-15.6%), $30.69 million in FY2022 (-17.4%) and $37.15 million in FY2021 (-4.2%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2014.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for five straight quarters, with growth averaging 75.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2026 (growth of 193.6%); the worst was Q2 2024 (a decline of 22.5%).
- Per Business Quant data, PJT's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $66.35 million (Q1 2026), $61.04 million (Q4 2025) and $45.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 338.70 Mn |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 3.91 Bn |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 2.88 Bn |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 177.00 Mn |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 767.00 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | - |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | - |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 136.70 Mn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 447.60 Mn |
| 10 | PJT Partners | 5.36 Bn | 4.55 Bn | - | 73.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.80 Mn |
| Mar 31, 2026 | 66.35 Mn |
| Dec 31, 2025 | 61.04 Mn |
| Sep 30, 2025 | 45.99 Mn |
| Jun 30, 2025 | 33.06 Mn |
| Mar 31, 2025 | 22.60 Mn |
| Dec 31, 2024 | 22.14 Mn |
| Sep 30, 2024 | 23.26 Mn |
| Jun 30, 2024 | 22.75 Mn |
| Mar 31, 2024 | 24.01 Mn |
| Dec 31, 2023 | 25.90 Mn |
| Sep 30, 2023 | 27.31 Mn |
| Jun 30, 2023 | 29.36 Mn |
| Mar 31, 2023 | 30.80 Mn |
| Dec 31, 2022 | 30.69 Mn |
| Sep 30, 2022 | 31.27 Mn |
| Jun 30, 2022 | 33.41 Mn |
| Mar 31, 2022 | 35.34 Mn |
| Dec 31, 2021 | 37.15 Mn |
| Sep 30, 2021 | 37.70 Mn |
PJT Partners Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PJT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PJT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();