Oppenheimer Holdings (OPY) Tax Provisions (2010 - 2026)
Oppenheimer Holdings (OPY) recorded Tax Provisions of $12.09 million in Q2 2026, up 14.8% from $10.54 million a year earlier.
Oppenheimer Holdings (OPY) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Oppenheimer Holdings' Tax Provisions came in at $47.64 million as of Jun 30, 2026, up 23.9% year-over-year; for FY2025, it came in at $63.23 million, up 83.2% from FY2024.
- Annual Tax Provisions has increased for three straight years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $34.51 million in FY2024 (+109.2%), $16.5 million in FY2023 (+22.7%), $13.44 million in FY2022 (-79.5%) and $65.68 million in FY2021 (+42.7%).
- Quarterly Tax Provisions has ranged from -$6.43 million in Q1 2026 to $32.05 million in Q4 2025 over the past five years.
- On a year-over-year basis, Tax Provisions rose in five of the last seven quarters, with growth averaging 76.0%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 405.7% in Q4 2025, against a decline of 76.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$6.43 million (Q1 2026), $32.05 million (Q4 2025) and $9.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.53 Bn | 94.63 Bn | - | 285.90 Mn |
| 2 | Robinhood Markets | 88.62 Bn | 69.65 Bn | - | 136.00 Mn |
| 3 | Intercontinental Exchange | 88.34 Bn | 82.08 Bn | - | 312.00 Mn |
| 4 | Nasdaq | 52.98 Bn | 50.41 Bn | 1.50 Bn | 146.00 Mn |
| 5 | Interactive Brokers | 36.99 Bn | 14.10 Bn | - | 118.00 Mn |
| 6 | Cboe Global Markets | 32.73 Bn | 24.39 Bn | 731.60 Mn | 141.60 Mn |
| 7 | LPL Financial Holdings | 25.70 Bn | 21.02 Bn | - | 136.24 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 63.50 Mn |
| 9 | Circle Internet | 21.14 Bn | 15.02 Bn | 288.85 Mn | 4.10 Mn |
| 10 | Oppenheimer Holdings | 1.08 Bn | -4.43 Bn | - | 12.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.09 Mn |
| Mar 31, 2026 | -6.43 Mn |
| Dec 31, 2025 | 32.05 Mn |
| Sep 30, 2025 | 9.92 Mn |
| Jun 30, 2025 | 10.54 Mn |
| Mar 31, 2025 | 10.72 Mn |
| Dec 31, 2024 | 6.34 Mn |
| Sep 30, 2024 | 10.86 Mn |
| Jun 30, 2024 | 5.60 Mn |
| Mar 31, 2024 | 11.71 Mn |
| Dec 31, 2023 | 6.24 Mn |
| Sep 30, 2023 | 7.81 Mn |
| Jun 30, 2023 | -2.13 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 7.89 Mn |
| Sep 30, 2022 | 2.57 Mn |
| Jun 30, 2022 | -1.45 Mn |
| Mar 31, 2022 | 4.44 Mn |
| Dec 31, 2021 | 29.06 Mn |
| Sep 30, 2021 | 11.14 Mn |
Oppenheimer Holdings Tax Provisions 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=tax-provisions&ticker=OPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();