Oppenheimer Holdings (OPY) Retained Earnings (2010 - 2026)
Oppenheimer Holdings (OPY) posted Retained Earnings of $950.12 million for Q2 2026, up 9.5% from $867.92 million a year earlier and up 2.7% from the prior quarter.
Oppenheimer Holdings (OPY) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Oppenheimer Holdings' Retained Earnings came in at $947.41 million, up 15.5% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In prior years, Oppenheimer Holdings' Retained Earnings was $819.96 million in FY2024 (+8.4%), $756.47 million in FY2023 (-1.0%), $764.18 million in FY2022 (+3.1%) and $740.93 million in FY2021 (+23.2%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last ten quarters, with growth averaging 9.8% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q3 2021, with growth of 29.8%; the weakest was Q4 2023, with a decline of 1.0%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $924.91 million (Q1 2026), $947.41 million (Q4 2025) and $887.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.00 Bn | 94.09 Bn | - | 5.46 Bn |
| 2 | Intercontinental Exchange | 89.08 Bn | 82.81 Bn | - | 22.06 Bn |
| 3 | Robinhood Markets | 87.98 Bn | 69.01 Bn | - | -1.24 Bn |
| 4 | Nasdaq | 53.42 Bn | 50.85 Bn | 1.50 Bn | 10.29 Bn |
| 5 | Interactive Brokers | 37.04 Bn | 14.15 Bn | - | 3.87 Bn |
| 6 | Cboe Global Markets | 33.10 Bn | 24.76 Bn | 731.60 Mn | 4.13 Bn |
| 7 | LPL Financial Holdings | 25.66 Bn | 20.98 Bn | - | 6.52 Bn |
| 8 | Tradeweb Markets | 25.37 Bn | 17.38 Bn | - | 1.69 Bn |
| 9 | Circle Internet | 21.26 Bn | 15.14 Bn | 288.85 Mn | -1.19 Bn |
| 10 | Oppenheimer Holdings | 1.07 Bn | -4.44 Bn | - | 950.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 950.12 Mn |
| Mar 31, 2026 | 924.91 Mn |
| Dec 31, 2025 | 947.41 Mn |
| Sep 30, 2025 | 887.74 Mn |
| Jun 30, 2025 | 867.92 Mn |
| Mar 31, 2025 | 848.72 Mn |
| Dec 31, 2024 | 819.96 Mn |
| Sep 30, 2024 | 811.09 Mn |
| Jun 30, 2024 | 788.74 Mn |
| Mar 31, 2024 | 780.95 Mn |
| Dec 31, 2023 | 756.47 Mn |
| Sep 30, 2023 | 750.80 Mn |
| Jun 30, 2023 | 762.47 Mn |
| Mar 31, 2023 | 777.12 Mn |
| Dec 31, 2022 | 764.18 Mn |
| Sep 30, 2022 | 743.65 Mn |
| Jun 30, 2022 | 742.61 Mn |
| Mar 31, 2022 | 748.32 Mn |
| Dec 31, 2021 | 740.93 Mn |
| Sep 30, 2021 | 692.54 Mn |
Oppenheimer Holdings Retained Earnings 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=retained-earnings&ticker=OPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();