Oppenheimer Holdings (OPY) Property, Plant & Equipment (Net) (2010 - 2026)
Oppenheimer Holdings' Property, Plant & Equipment (Net) was $29.36 million in Q2 2026, down 17.2% from $35.47 million a year earlier and down 1.9% from the prior quarter.
Oppenheimer Holdings (OPY) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Oppenheimer Holdings came in at $32.4 million, down 15.2% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $38.19 million in FY2024 (-13.0%), $43.87 million in FY2023 (+19.4%), $36.74 million in FY2022 (+31.1%) and $28.04 million in FY2021 (+1.0%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q2 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for nine straight quarters, with an average decline of 13.6% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2023 (growth of 60.5%); the worst was Q1 2026 (a decline of 19.3%).
- Per Business Quant data, OPY's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $29.92 million (Q1 2026), $32.4 million (Q4 2025) and $33.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 351.20 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 2.88 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 177.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 767.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 136.70 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 1.57 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 80.74 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 22.18 Mn |
| 10 | Oppenheimer Holdings | 1.07 Bn | -4.44 Bn | - | 29.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.36 Mn |
| Mar 31, 2026 | 29.92 Mn |
| Dec 31, 2025 | 32.40 Mn |
| Sep 30, 2025 | 33.97 Mn |
| Jun 30, 2025 | 35.47 Mn |
| Mar 31, 2025 | 37.08 Mn |
| Dec 31, 2024 | 38.19 Mn |
| Sep 30, 2024 | 37.64 Mn |
| Jun 30, 2024 | 40.16 Mn |
| Mar 31, 2024 | 41.49 Mn |
| Dec 31, 2023 | 43.87 Mn |
| Sep 30, 2023 | 42.63 Mn |
| Jun 30, 2023 | 42.58 Mn |
| Mar 31, 2023 | 38.40 Mn |
| Dec 31, 2022 | 36.74 Mn |
| Sep 30, 2022 | 33.95 Mn |
| Jun 30, 2022 | 26.54 Mn |
| Mar 31, 2022 | 28.53 Mn |
| Dec 31, 2021 | 28.04 Mn |
| Sep 30, 2021 | 29.30 Mn |
Oppenheimer Holdings 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=OPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "OPY", "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=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();