Oppenheimer Holdings (OPY) EBITDA (2010 - 2026)
Oppenheimer Holdings (OPY) recorded EBITDA of $42.2 million in Q2 2026, up 20.2% from $35.12 million a year earlier.
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Analysis
Oppenheimer Holdings (OPY) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Oppenheimer Holdings' EBITDA came in at $161.24 million as of Jun 30, 2026, up 17.2% year-over-year; for FY2025, it came in at $222.84 million, up 90.6% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $116.94 million in FY2024 (+106.3%), $56.69 million in FY2023 (+6.6%), $53.16 million in FY2022 (-77.1%) and $232.64 million in FY2021 (+31.3%).
- Quarterly EBITDA has ranged from -$24.35 million in Q1 2026 to $108.88 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last seven quarters, with growth averaging 86.8%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 447.1% in Q4 2025, against a decline of 76.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$24.35 million (Q1 2026), $108.88 million (Q4 2025) and $34.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 1.19 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 1.78 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 891.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 877.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 2.65 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 504.10 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 801.19 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 306.75 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 64.26 Mn |
| 10 | Oppenheimer Holdings | 1.07 Bn | -4.44 Bn | - | 42.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.20 Mn |
| Mar 31, 2026 | -24.35 Mn |
| Dec 31, 2025 | 108.88 Mn |
| Sep 30, 2025 | 34.51 Mn |
| Jun 30, 2025 | 35.12 Mn |
| Mar 31, 2025 | 44.33 Mn |
| Dec 31, 2024 | 19.91 Mn |
| Sep 30, 2024 | 38.24 Mn |
| Jun 30, 2024 | 18.73 Mn |
| Mar 31, 2024 | 40.23 Mn |
| Dec 31, 2023 | 21.23 Mn |
| Sep 30, 2023 | 24.33 Mn |
| Jun 30, 2023 | -9.62 Mn |
| Mar 31, 2023 | 20.98 Mn |
| Dec 31, 2022 | 32.22 Mn |
| Sep 30, 2022 | 9.21 Mn |
| Jun 30, 2022 | -4.30 Mn |
| Mar 31, 2022 | 16.27 Mn |
| Dec 31, 2021 | 94.04 Mn |
| Sep 30, 2021 | 39.49 Mn |
API Access
Oppenheimer Holdings EBITDA 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=ebitda&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();