Oppenheimer Holdings (OPY) Revenue (2010 - 2026)
Oppenheimer Holdings (OPY) posted Revenue of $454.88 million for Q2 2026, up 21.9% from $373.18 million a year earlier and up 2.2% from the prior quarter.
Oppenheimer Holdings (OPY) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Oppenheimer Holdings was $1.8 billion, up 20.6% year-over-year; for FY2025, it was $1.64 billion, up 14.4% from FY2024.
- Annual Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Oppenheimer Holdings' Revenue was $1.43 billion in FY2024 (+14.7%), $1.25 billion in FY2023 (+12.4%), $1.11 billion in FY2022 (-20.3%) and $1.39 billion in FY2021 (+16.3%).
- Quarterly Revenue has run from a low of $237.22 million in Q2 2022 to a high of $472.63 million in Q4 2025 over five years.
- On a year-over-year basis, Revenue has increased in each of the last ten quarters, with growth averaging 17.6% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q2 2023, with growth of 29.1%; the weakest was Q2 2022, with a decline of 30.3%.
- According to Business Quant data, Revenue for the three prior quarters was $445.1 million (Q1 2026), $472.63 million (Q4 2025) and $424.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.32 Bn | 95.41 Bn | - | 1.71 Bn |
| 2 | Intercontinental Exchange | 89.20 Bn | 82.94 Bn | - | 3.61 Bn |
| 3 | Robinhood Markets | 88.13 Bn | 69.16 Bn | - | 1.31 Bn |
| 4 | Nasdaq | 53.36 Bn | 50.79 Bn | 1.50 Bn | 2.53 Bn |
| 5 | Interactive Brokers | 36.88 Bn | 13.99 Bn | - | 1.90 Bn |
| 6 | Cboe Global Markets | 32.80 Bn | 24.45 Bn | 731.60 Mn | 1.44 Bn |
| 7 | LPL Financial Holdings | 25.62 Bn | 20.93 Bn | - | 5.19 Bn |
| 8 | Tradeweb Markets | 25.10 Bn | 17.11 Bn | - | 558.95 Mn |
| 9 | Circle Internet | 20.93 Bn | 14.81 Bn | 288.85 Mn | 701.32 Mn |
| 10 | Oppenheimer Holdings | 1.07 Bn | -4.44 Bn | - | 454.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 454.88 Mn |
| Mar 31, 2026 | 445.10 Mn |
| Dec 31, 2025 | 472.63 Mn |
| Sep 30, 2025 | 424.44 Mn |
| Jun 30, 2025 | 373.18 Mn |
| Mar 31, 2025 | 367.83 Mn |
| Dec 31, 2024 | 375.42 Mn |
| Sep 30, 2024 | 373.35 Mn |
| Jun 30, 2024 | 330.59 Mn |
| Mar 31, 2024 | 353.14 Mn |
| Dec 31, 2023 | 308.29 Mn |
| Sep 30, 2023 | 312.67 Mn |
| Jun 30, 2023 | 306.19 Mn |
| Mar 31, 2023 | 321.68 Mn |
| Dec 31, 2022 | 313.58 Mn |
| Sep 30, 2022 | 294.11 Mn |
| Jun 30, 2022 | 237.22 Mn |
| Mar 31, 2022 | 266.03 Mn |
| Dec 31, 2021 | 365.12 Mn |
| Sep 30, 2021 | 315.34 Mn |
Oppenheimer Holdings Revenue 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=revenue&ticker=OPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();