Oppenheimer Holdings (OPY) Change in Accured Expenses (2010 - 2026)
Oppenheimer Holdings' Change in Accured Expenses was $77.37 million in Q2 2026, up 79.8% from $43.04 million a year earlier.
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Analysis
Oppenheimer Holdings (OPY) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Oppenheimer Holdings' Change in Accured Expenses was -$3.09 million through Jun 30, 2026; for FY2025, it was -$32.13 million.
- In earlier years, Change in Accured Expenses was -$47.16 million in FY2024, -$48.02 million in FY2023, -$107.35 million in FY2022 and $23.24 million in FY2021 (-71.8%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses since Q4 2020.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 133.0%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2025 (growth of 461.9%); the worst was Q4 2021 (a decline of 66.2%).
- Per Business Quant data, OPY's Change in Accured Expenses in the three quarters before Q2 2026 was -$152.44 million (Q1 2026), -$1.34 million (Q4 2025) and $73.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.93 Bn | 98.03 Bn | - | -70.30 Mn |
| 2 | Intercontinental Exchange | 91.85 Bn | 85.66 Bn | - | -77.00 Mn |
| 3 | Robinhood Markets | 86.83 Bn | 67.92 Bn | - | 67.00 Mn |
| 4 | Nasdaq | 57.69 Bn | 55.13 Bn | 1.48 Bn | 79.00 Mn |
| 5 | Interactive Brokers | 37.07 Bn | 30.53 Bn | - | 364.00 Mn |
| 6 | Cboe Global Markets | 34.37 Bn | 26.02 Bn | 731.60 Mn | 69.70 Mn |
| 7 | Tradeweb Markets | 28.54 Bn | 21.25 Bn | - | 49.37 Mn |
| 8 | LPL Financial Holdings | 25.11 Bn | 20.43 Bn | - | 55.29 Mn |
| 9 | Circle Internet | 20.23 Bn | 14.11 Bn | 288.85 Mn | 133.37 Mn |
| 10 | Oppenheimer Holdings | 1.09 Bn | -4.41 Bn | - | 77.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.37 Mn |
| Mar 31, 2026 | -152.44 Mn |
| Dec 31, 2025 | -1.34 Mn |
| Sep 30, 2025 | 73.31 Mn |
| Jun 30, 2025 | 43.04 Mn |
| Mar 31, 2025 | -147.15 Mn |
| Dec 31, 2024 | -5.50 Mn |
| Sep 30, 2024 | 13.05 Mn |
| Jun 30, 2024 | 38.60 Mn |
| Mar 31, 2024 | -93.31 Mn |
| Dec 31, 2023 | -13.79 Mn |
| Sep 30, 2023 | 16.56 Mn |
| Jun 30, 2023 | 31.07 Mn |
| Mar 31, 2023 | -81.86 Mn |
| Dec 31, 2022 | 27.99 Mn |
| Sep 30, 2022 | 24.86 Mn |
| Jun 30, 2022 | 66.29 Mn |
| Mar 31, 2022 | -226.48 Mn |
| Dec 31, 2021 | 34.83 Mn |
| Sep 30, 2021 | 29.32 Mn |
API Access
Oppenheimer Holdings Change in Accured 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=change-in-accured-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();