Oppenheimer Holdings (OPY) Total Liabilities (2010 - 2026)
Oppenheimer Holdings' Total Liabilities was $3.08 billion in Q3 2026, up 6.4% from $2.9 billion a year earlier but down 4.6% from the prior quarter.
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Analysis
Oppenheimer Holdings (OPY) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Oppenheimer Holdings came in at $2.73 billion, up 7.6% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.53 billion in FY2024 (+21.4%), $2.09 billion in FY2023 (+8.7%), $1.92 billion in FY2022 (-13.5%) and $2.22 billion in FY2021 (+9.4%).
- Quarterly Total Liabilities has moved between $1.92 billion (Q4 2022) and $3.23 billion (Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 14 straight quarters, with growth averaging 11.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 21.4%); the worst was Q4 2022 (a decline of 13.5%).
- Per Business Quant data, OPY's Total Liabilities in the three quarters before Q3 2026 was $3.23 billion (Q2 2026), $2.85 billion (Q1 2026) and $2.73 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 108.59 Bn | 96.93 Bn | - | 165.53 Bn |
| 2 | Bank of New York Mellon | 103.18 Bn | 36.80 Bn | - | 449.94 Bn |
| 3 | Intercontinental Exchange | 97.58 Bn | 90.47 Bn | - | 147.08 Bn |
| 4 | Robinhood Markets | 76.11 Bn | 55.64 Bn | - | 48.19 Bn |
| 5 | Nasdaq | 60.55 Bn | 57.98 Bn | 1.48 Bn | 15.38 Bn |
| 6 | State Street | 47.05 Bn | 47.05 Bn | - | - |
| 7 | Cboe Global Markets | 36.96 Bn | 27.44 Bn | 712.20 Mn | 5.30 Bn |
| 8 | Interactive Brokers | 35.30 Bn | 11.61 Bn | - | 219.98 Bn |
| 9 | Northern Trust | 32.32 Bn | 32.32 Bn | - | 153.91 Bn |
| 10 | Oppenheimer Holdings | 1.00 Bn | -4.60 Bn | - | 3.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.08 Bn |
| Jun 30, 2026 | 3.23 Bn |
| Mar 31, 2026 | 2.85 Bn |
| Dec 31, 2025 | 2.73 Bn |
| Sep 30, 2025 | 2.90 Bn |
| Jun 30, 2025 | 2.79 Bn |
| Mar 31, 2025 | 2.70 Bn |
| Dec 31, 2024 | 2.53 Bn |
| Sep 30, 2024 | 2.53 Bn |
| Jun 30, 2024 | 2.45 Bn |
| Mar 31, 2024 | 2.45 Bn |
| Dec 31, 2023 | 2.09 Bn |
| Sep 30, 2023 | 2.20 Bn |
| Jun 30, 2023 | 2.30 Bn |
| Mar 31, 2023 | 2.12 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 2.08 Bn |
| Jun 30, 2022 | 2.14 Bn |
| Mar 31, 2022 | 2.20 Bn |
| Dec 31, 2021 | 2.22 Bn |
API Access
Oppenheimer Holdings Total Liabilities 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=total-liabilities&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();