Oppenheimer Holdings (OPY) Other Operating Expenses (2010 - 2026)
Oppenheimer Holdings' Other Operating Expenses came in at $37.1 million for Q2 2026, up 21.5% from $30.54 million a year earlier but down 65.9% from the prior quarter.
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Analysis
Oppenheimer Holdings (OPY) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oppenheimer Holdings reported Other Operating Expenses of $213.75 million, up 82.0% year-over-year; for FY2025, it came in at $126.51 million, up 13.9% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $111.08 million in FY2024 (-34.2%), $168.81 million in FY2023 (+30.1%), $129.78 million in FY2022 (+18.2%) and $109.8 million in FY2021 (+33.7%).
- The five-year range for quarterly Other Operating Expenses is $20.9 million (Q2 2022) to $108.71 million (Q1 2026).
- Year-over-year, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 44.3% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2026 (growth of 288.0%), and the weakest in Q2 2024 (a decline of 63.2%).
- Business Quant data shows OPY's Other Operating Expenses at $108.71 million (Q1 2026), $36.62 million (Q4 2025) and $31.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.55 Bn | 94.65 Bn | - |
| 2 | Intercontinental Exchange | 88.66 Bn | 82.39 Bn | - |
| 3 | Robinhood Markets | 88.64 Bn | 69.68 Bn | - |
| 4 | Nasdaq | 53.09 Bn | 50.52 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 36.97 Bn | 14.08 Bn | - |
| 6 | Cboe Global Markets | 32.80 Bn | 24.46 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.70 Bn | 21.02 Bn | - |
| 8 | Tradeweb Markets | 25.40 Bn | 17.41 Bn | - |
| 9 | Circle Internet | 21.17 Bn | 15.05 Bn | 288.85 Mn |
| 10 | Oppenheimer Holdings | 1.08 Bn | -4.43 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.10 Mn |
| Mar 31, 2026 | 108.71 Mn |
| Dec 31, 2025 | 36.62 Mn |
| Sep 30, 2025 | 31.33 Mn |
| Jun 30, 2025 | 30.54 Mn |
| Mar 31, 2025 | 28.02 Mn |
| Dec 31, 2024 | 30.91 Mn |
| Sep 30, 2024 | 27.98 Mn |
| Jun 30, 2024 | 25.04 Mn |
| Mar 31, 2024 | 27.16 Mn |
| Dec 31, 2023 | 32.44 Mn |
| Sep 30, 2023 | 29.73 Mn |
| Jun 30, 2023 | 68.05 Mn |
| Mar 31, 2023 | 38.59 Mn |
| Dec 31, 2022 | 31.61 Mn |
| Sep 30, 2022 | 57.06 Mn |
| Jun 30, 2022 | 20.09 Mn |
| Mar 31, 2022 | 21.02 Mn |
| Dec 31, 2021 | 35.73 Mn |
| Sep 30, 2021 | 29.25 Mn |
API Access
Oppenheimer Holdings Other Operating Expenses 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=other-operating-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();