Super League Enterprise (SLE) Return on Sales [ROS] (2018 - 2026)
Super League Enterprise's Return on Sales [ROS] came in at -121.17% for Q2 2026, down 16.37 percentage points from -104.80% a year earlier but up 17.33 percentage points from the prior quarter.
Super League Enterprise (SLE) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Super League Enterprise reported Return on Sales [ROS] of -121.03%, down 11.78 percentage points year-over-year; for FY2025, it was -115.09%, down 11.55 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +793.01 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -103.53% in FY2024 (+27.40 pp), -130.93% in FY2023 (+300.84 pp), -431.77% in FY2022 (-216.90 pp) and -214.87% in FY2021 (+693.22 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1155.30% (Q3 2022) to -62.49% (Q3 2023).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -9.88 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 1092.81 percentage points), and the weakest in Q3 2022 (a drop of 961.88 percentage points).
- Business Quant data shows SLE's Return on Sales [ROS] at -138.49% (Q1 2026), -100.81% (Q4 2025) and -125.92% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 34.03% |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 33.38% |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 5.62% |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 13.62% |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 13.32% |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 34.00% |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 24.62% |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 13.71% |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 21.01% |
| 10 | Super League Enterprise | 9.04 Mn | -24.42 Mn | 1.24 Mn | -121.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -121.17% |
| Mar 31, 2026 | -138.49% |
| Dec 31, 2025 | -100.81% |
| Sep 30, 2025 | -125.92% |
| Jun 30, 2025 | -104.80% |
| Mar 31, 2025 | -133.59% |
| Dec 31, 2024 | -134.35% |
| Sep 30, 2024 | -77.93% |
| Jun 30, 2024 | -99.44% |
| Mar 31, 2024 | -109.41% |
| Dec 31, 2023 | -136.01% |
| Sep 30, 2023 | -62.49% |
| Jun 30, 2023 | -162.05% |
| Mar 31, 2023 | -217.34% |
| Dec 31, 2022 | -227.11% |
| Sep 30, 2022 | -1,155.30% |
| Jun 30, 2022 | -204.32% |
| Mar 31, 2022 | -211.28% |
| Dec 31, 2021 | -115.72% |
| Sep 30, 2021 | -193.43% |
Super League Enterprise 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=SLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SLE", "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=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();