Oppenheimer Holdings (OPY) EBIT (2010 - 2026)
Oppenheimer Holdings (OPY) posted EBIT of $8.79 million for Q3 2026, down 72.2% from $31.64 million a year earlier and down 77.7% from the prior quarter.
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Analysis
Oppenheimer Holdings (OPY) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBIT at Oppenheimer Holdings was $127.21 million, up 4.0% year-over-year; for FY2025, it was $211.19 million, up 99.7% from FY2024.
- Annual EBIT has increased for three consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, Oppenheimer Holdings' EBIT was $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%).
- Quarterly EBIT has run from a low of -$27 million in Q1 2026 to a high of $105.97 million in Q4 2025 over five years.
- On a year-over-year basis, EBIT increased in four of the last seven quarters, with growth averaging 81.4%.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2025, with growth of 520.9%; the weakest was Q3 2022, with a decline of 80.6%.
- According to Business Quant data, EBIT for the three prior quarters was $39.45 million (Q2 2026), -$27 million (Q1 2026) and $105.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.59 Bn | 96.93 Bn | - | 1.14 Bn |
| 2 | Bank of New York Mellon | 103.18 Bn | 36.80 Bn | - | 6.46 Bn |
| 3 | Intercontinental Exchange | 97.58 Bn | 90.47 Bn | - | 1.41 Bn |
| 4 | Robinhood Markets | 76.11 Bn | 55.64 Bn | - | 834.00 Mn |
| 5 | Nasdaq | 60.55 Bn | 57.98 Bn | 1.48 Bn | 732.00 Mn |
| 6 | State Street | 47.05 Bn | 47.05 Bn | - | 3.44 Bn |
| 7 | Cboe Global Markets | 36.96 Bn | 27.44 Bn | 712.20 Mn | 534.30 Mn |
| 8 | Interactive Brokers | 35.30 Bn | 11.61 Bn | - | 2.78 Bn |
| 9 | Northern Trust | 32.32 Bn | 32.32 Bn | - | 2.20 Bn |
| 10 | Oppenheimer Holdings | 1.00 Bn | -4.60 Bn | - | 8.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.79 Mn |
| 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 |
API Access
Oppenheimer Holdings EBIT 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=ebit&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();