Oppenheimer Holdings (OPY) Interest Expenses (2010 - 2026)
Oppenheimer Holdings (OPY) reported Interest Expenses of $19.88 million for Q2 2026, down 11.7% from $22.53 million a year earlier but up 6.4% from the prior quarter.
Oppenheimer Holdings (OPY) Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oppenheimer Holdings' Interest Expenses came in at $81.2 million, down 9.2% year-over-year; for FY2025, it came in at $86.56 million, down 1.6% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- By year, Interest Expenses came in at $87.99 million in FY2024 (+28.3%), $68.6 million in FY2023 (+187.7%), $23.85 million in FY2022 (+142.0%) and $9.86 million in FY2021 (-37.1%).
- Five-year quarterly Interest Expenses spans a low of $2.29 million in Q4 2021 and a high of $24.1 million in Q3 2024.
- Year over year, Interest Expenses has now declined in each of the last four quarters, with growth averaging 1.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 423.2%); the low point was Q3 2021 (a decline of 28.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.69 million (Q1 2026), $20.14 million (Q4 2025) and $22.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.53 Bn | 94.63 Bn | - | 43.60 Mn |
| 2 | Intercontinental Exchange | 88.94 Bn | 82.68 Bn | - | 205.00 Mn |
| 3 | Robinhood Markets | 88.31 Bn | 69.34 Bn | - | 159.00 Mn |
| 4 | Nasdaq | 53.38 Bn | 50.81 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 37.02 Bn | 14.13 Bn | - | 1.18 Bn |
| 6 | Cboe Global Markets | 33.08 Bn | 24.74 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.74 Bn | 21.05 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.37 Bn | 17.38 Bn | - | 505,000.00 |
| 9 | Circle Internet | 21.25 Bn | 15.13 Bn | 288.85 Mn | - |
| 10 | Oppenheimer Holdings | 1.08 Bn | -4.44 Bn | - | 19.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.88 Mn |
| Mar 31, 2026 | 18.69 Mn |
| Dec 31, 2025 | 20.14 Mn |
| Sep 30, 2025 | 22.50 Mn |
| Jun 30, 2025 | 22.53 Mn |
| Mar 31, 2025 | 21.40 Mn |
| Dec 31, 2024 | 21.36 Mn |
| Sep 30, 2024 | 24.10 Mn |
| Jun 30, 2024 | 21.98 Mn |
| Mar 31, 2024 | 20.55 Mn |
| Dec 31, 2023 | 18.25 Mn |
| Sep 30, 2023 | 19.74 Mn |
| Jun 30, 2023 | 17.47 Mn |
| Mar 31, 2023 | 13.14 Mn |
| Dec 31, 2022 | 10.69 Mn |
| Sep 30, 2022 | 7.02 Mn |
| Jun 30, 2022 | 3.63 Mn |
| Mar 31, 2022 | 2.51 Mn |
| Dec 31, 2021 | 2.29 Mn |
| Sep 30, 2021 | 2.47 Mn |
Oppenheimer Holdings Interest Expenses 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=interest-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();