Oppenheimer Holdings (OPY) Return on Sales [ROS] (2010 - 2026)
Oppenheimer Holdings (OPY) recorded Return on Sales [ROS] of 8.67% in Q2 2026, up 0.04 percentage points from 8.63% a year earlier and up 14.74 percentage points from the prior quarter.
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Analysis
Oppenheimer Holdings (OPY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Oppenheimer Holdings' Return on Sales [ROS] came in at 8.35% as of Jun 30, 2026, down 0.11 percentage points year-over-year; for FY2025, it came in at 12.89%, up 5.51 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.21 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 7.38% in FY2024 (+3.64 pp), 3.75% in FY2023 (-0.36 pp), 4.10% in FY2022 (-12.01 pp) and 16.11% in FY2021 (+2.02 pp).
- Quarterly Return on Sales [ROS] has ranged from -6.07% in Q1 2026 to 25.18% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.55 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 17.88 percentage points in Q4 2025, against a drop of 17.32 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -6.07% (Q1 2026), 22.42% (Q4 2025) and 7.45% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.43 Bn | 98.52 Bn | - | 64.89% |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - | 38.52% |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - | 66.36% |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn | 28.12% |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - | 138.98% |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn | 32.99% |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - | 43.88% |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - | 11.90% |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn | 4.90% |
| 10 | Oppenheimer Holdings | 1.09 Bn | -4.42 Bn | - | 8.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.67% |
| Mar 31, 2026 | -6.07% |
| Dec 31, 2025 | 22.42% |
| Sep 30, 2025 | 7.45% |
| Jun 30, 2025 | 8.63% |
| Mar 31, 2025 | 11.25% |
| Dec 31, 2024 | 4.55% |
| Sep 30, 2024 | 9.47% |
| Jun 30, 2024 | 4.80% |
| Mar 31, 2024 | 10.61% |
| Dec 31, 2023 | 5.78% |
| Sep 30, 2023 | 6.90% |
| Jun 30, 2023 | -3.82% |
| Mar 31, 2023 | 5.92% |
| Dec 31, 2022 | 9.65% |
| Sep 30, 2022 | 2.46% |
| Jun 30, 2022 | -2.60% |
| Mar 31, 2022 | 5.34% |
| Dec 31, 2021 | 25.18% |
| Sep 30, 2021 | 11.86% |
API Access
Oppenheimer Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OPY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();