Oppenheimer Holdings (OPY) Cash & Equivalents (2010 - 2026)
Oppenheimer Holdings (OPY) recorded Cash & Equivalents of $38.45 million in Q2 2026, up 2.2% from $37.62 million a year earlier and up 11.1% from the prior quarter.
Powered by 
Analysis
Oppenheimer Holdings (OPY) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Oppenheimer Holdings reported Cash & Equivalents of $38.41 million, up 15.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $33.15 million in FY2024 (+15.0%), $28.84 million in FY2023 (-74.4%), $112.43 million in FY2022 (-47.4%) and $213.76 million in FY2021 (+503.4%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q4 2022.
- On a year-over-year basis, Cash & Equivalents rose in seven of the last eight quarters, with growth averaging 12.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 503.4% in Q4 2021, against a decline of 74.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.6 million (Q1 2026), $38.41 million (Q4 2025) and $38.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.69 Bn | 94.78 Bn | - | 2.14 Bn |
| 2 | Robinhood Markets | 88.70 Bn | 69.73 Bn | - | 5.36 Bn |
| 3 | Intercontinental Exchange | 88.59 Bn | 82.33 Bn | - | 1.07 Bn |
| 4 | Nasdaq | 53.12 Bn | 50.54 Bn | 1.50 Bn | 520.00 Mn |
| 5 | Interactive Brokers | 36.91 Bn | 14.02 Bn | - | 7.71 Bn |
| 6 | Cboe Global Markets | 32.83 Bn | 24.49 Bn | 731.60 Mn | 2.28 Bn |
| 7 | LPL Financial Holdings | 25.70 Bn | 21.02 Bn | - | 1.28 Bn |
| 8 | Tradeweb Markets | 25.26 Bn | 17.27 Bn | - | 2.06 Bn |
| 9 | Circle Internet | 21.10 Bn | 14.98 Bn | 288.85 Mn | 1.73 Bn |
| 10 | Oppenheimer Holdings | 1.09 Bn | -4.43 Bn | - | 38.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.45 Mn |
| Mar 31, 2026 | 34.60 Mn |
| Dec 31, 2025 | 38.41 Mn |
| Sep 30, 2025 | 38.29 Mn |
| Jun 30, 2025 | 37.62 Mn |
| Mar 31, 2025 | 36.70 Mn |
| Dec 31, 2024 | 33.15 Mn |
| Sep 30, 2024 | 32.24 Mn |
| Jun 30, 2024 | 33.21 Mn |
| Mar 31, 2024 | 27.66 Mn |
| Dec 31, 2023 | 28.84 Mn |
| Sep 30, 2023 | 30.77 Mn |
| Jun 30, 2023 | 29.15 Mn |
| Mar 31, 2023 | 30.32 Mn |
| Dec 31, 2022 | 112.43 Mn |
| Sep 30, 2022 | 36.58 Mn |
| Jun 30, 2022 | 36.61 Mn |
| Mar 31, 2022 | 47.45 Mn |
| Dec 31, 2021 | 213.76 Mn |
| Sep 30, 2021 | 140.82 Mn |
API Access
Oppenheimer Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();