Siebert Financial (SIEB) Return on Sales [ROS] (2010 - 2026)
Siebert Financial's Return on Sales [ROS] was -1.51% in Q2 2026, up 37.70 percentage points from -39.21% a year earlier and up 10.70 percentage points from the prior quarter.
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Analysis
Siebert Financial (SIEB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Siebert Financial's Return on Sales [ROS] was -2.32% through Jun 30, 2026, down 15.58 percentage points year-over-year; for FY2025, it was 5.91%, down 14.91 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -0.55 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 20.82% in FY2024 (-4.53 pp), 25.35% in FY2023 (+24.47 pp), 0.88% in FY2022 (-8.87 pp) and 9.75% in FY2021 (+3.29 pp).
- Quarterly Return on Sales [ROS] has moved between -39.21% (Q2 2025) and 36.29% (Q1 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -13.90 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 41.55 percentage points); the worst was Q2 2025 (a drop of 65.95 percentage points).
- Per Business Quant data, SIEB's Return on Sales [ROS] in the three quarters before Q2 2026 was -12.22% (Q1 2026), -5.46% (Q4 2025) and 8.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.90 Bn | 98.00 Bn | - | 64.89% |
| 2 | Intercontinental Exchange | 91.54 Bn | 85.28 Bn | - | 38.52% |
| 3 | Robinhood Markets | 85.94 Bn | 66.97 Bn | - | 66.36% |
| 4 | Nasdaq | 57.16 Bn | 54.59 Bn | 1.48 Bn | 30.59% |
| 5 | Interactive Brokers | 36.46 Bn | 13.57 Bn | - | 138.98% |
| 6 | Cboe Global Markets | 35.16 Bn | 26.82 Bn | 731.60 Mn | 32.99% |
| 7 | Tradeweb Markets | 25.79 Bn | 17.81 Bn | - | 43.88% |
| 8 | LPL Financial Holdings | 25.11 Bn | 20.42 Bn | - | 11.90% |
| 9 | Circle Internet | 21.37 Bn | 15.25 Bn | 288.85 Mn | 4.90% |
| 10 | Siebert Financial | 77.68 Mn | -70.31 Mn | - | -1.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.51% |
| Mar 31, 2026 | -12.22% |
| Dec 31, 2025 | -5.46% |
| Sep 30, 2025 | 8.15% |
| Jun 30, 2025 | -39.21% |
| Mar 31, 2025 | 36.29% |
| Dec 31, 2024 | 9.73% |
| Sep 30, 2024 | 21.45% |
| Jun 30, 2024 | 26.74% |
| Mar 31, 2024 | 24.94% |
| Dec 31, 2023 | 24.77% |
| Sep 30, 2023 | 23.67% |
| Jun 30, 2023 | 26.48% |
| Mar 31, 2023 | 26.67% |
| Dec 31, 2022 | 6.97% |
| Sep 30, 2022 | 11.08% |
| Jun 30, 2022 | -4.53% |
| Mar 31, 2022 | -14.88% |
| Dec 31, 2021 | 5.29% |
| Sep 30, 2021 | 7.16% |
API Access
Siebert Financial 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=SIEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SIEB", "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=SIEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();