Oppenheimer Holdings (OPY) Operating Income (2018 - 2026)
Oppenheimer Holdings (OPY) reported Operating Income of $39.45 million for Q2 2026, up 22.5% from $32.21 million a year earlier.
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Analysis
Oppenheimer Holdings (OPY) Operating Income (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oppenheimer Holdings' Operating Income came in at $150.05 million, up 19.1% year-over-year; for FY2025, it was $211.19 million, up 99.7% from FY2024.
- Operating Income has increased for three consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Operating Income came in at $105.76 million in FY2024 (+126.1%), $46.77 million in FY2023 (+2.7%), $45.55 million in FY2022 (-79.7%) and $224.64 million in FY2021 (+32.9%).
- Five-year quarterly Operating Income spans a low of -$27 million in Q1 2026 and a high of $105.97 million in Q4 2025.
- Year over year, Operating Income gained in five of the last seven quarters, with growth averaging 100.8%.
- The high point for year-over-year Operating Income in five years was Q4 2025 (growth of 520.9%); the low point was Q3 2022 (a decline of 80.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$27 million (Q1 2026), $105.97 million (Q4 2025) and $31.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.60 Bn | 94.70 Bn | - | 1.11 Bn |
| 2 | Intercontinental Exchange | 88.75 Bn | 82.49 Bn | - | 1.39 Bn |
| 3 | Robinhood Markets | 88.19 Bn | 69.23 Bn | - | - |
| 4 | Nasdaq | 53.41 Bn | 50.84 Bn | 1.50 Bn | 712.00 Mn |
| 5 | Interactive Brokers | 36.93 Bn | 14.05 Bn | - | - |
| 6 | Cboe Global Markets | 33.08 Bn | 24.73 Bn | 731.60 Mn | 476.00 Mn |
| 7 | LPL Financial Holdings | 25.75 Bn | 21.07 Bn | - | - |
| 8 | Tradeweb Markets | 25.34 Bn | 17.35 Bn | - | 245.26 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 34.36 Mn |
| 10 | Oppenheimer Holdings | 1.08 Bn | -4.44 Bn | - | 39.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.45 Mn |
| Mar 31, 2026 | -27.00 Mn |
| Dec 31, 2025 | 105.97 Mn |
| Sep 30, 2025 | 31.64 Mn |
| Jun 30, 2025 | 32.21 Mn |
| Mar 31, 2025 | 41.38 Mn |
| Dec 31, 2024 | 17.07 Mn |
| Sep 30, 2024 | 35.37 Mn |
| Jun 30, 2024 | 15.87 Mn |
| Mar 31, 2024 | 37.46 Mn |
| Dec 31, 2023 | 17.83 Mn |
| Sep 30, 2023 | 21.59 Mn |
| Jun 30, 2023 | -11.70 Mn |
| Mar 31, 2023 | 19.05 Mn |
| Dec 31, 2022 | 30.27 Mn |
| Sep 30, 2022 | 7.24 Mn |
| Jun 30, 2022 | -6.17 Mn |
| Mar 31, 2022 | 14.21 Mn |
| Dec 31, 2021 | 91.95 Mn |
| Sep 30, 2021 | 37.39 Mn |
API Access
Oppenheimer Holdings Operating Income 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=operating-income&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();