Oppenheimer Holdings (OPY) Non Operating Interest Expenses (2010 - 2024)
Oppenheimer Holdings' Non Operating Interest Expenses was $21.98 million in Q2 2024, up 25.8% from $17.47 million a year earlier and up 7.0% from the prior quarter.
Oppenheimer Holdings (OPY) Non Operating Interest Expenses (2010 - 2024) Analysis & Trends
On a trailing twelve-month basis, Oppenheimer Holdings' Non Operating Interest Expenses was $80.52 million through Jun 30, 2024, up 66.7% year-over-year; for FY2023, it was $68.6 million, up 187.7% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 8.1% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $23.85 million in FY2022 (+142.0%), $9.86 million in FY2021 (-37.1%), $15.68 million in FY2020 (-65.7%) and $45.69 million in FY2019 (-1.5%).
- The Q2 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Compared with a year earlier, Non Operating Interest Expenses has increased for nine straight quarters, with growth averaging 211.2% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 423.2%); the worst was Q2 2020 (a decline of 78.1%).
- Per Business Quant data, OPY's Non Operating Interest Expenses in the three quarters before Q2 2024 was $20.55 million (Q1 2024), $18.25 million (Q4 2023) and $19.74 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - | 43.60 Mn |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - | 205.00 Mn |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - | 505,000.00 |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn | - |
| 10 | Oppenheimer Holdings | 1.09 Bn | -4.42 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 2.45 Mn |
| Mar 31, 2021 | 2.65 Mn |
| Dec 31, 2020 | 2.78 Mn |
| Sep 30, 2020 | 3.46 Mn |
| Jun 30, 2020 | 2.89 Mn |
| Mar 31, 2020 | 6.55 Mn |
| Dec 31, 2019 | 7.98 Mn |
| Sep 30, 2019 | 11.53 Mn |
Oppenheimer Holdings Non Operating 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=non-operating-interest-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();