Super League Enterprise (SLE) Cost of Revenue (2018 - 2026)
Super League Enterprise's Cost of Revenue was $1.77 million in Q2 2026, up 4.3% from $1.69 million a year earlier but down 8.4% from the prior quarter.
Super League Enterprise (SLE) Cost of Revenue (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Super League Enterprise's Cost of Revenue was $7.23 million through Jun 30, 2026, down 13.4% year-over-year; for FY2025, it was $6.75 million, down 33.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 51.1% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $10.08 million in FY2024 (-34.1%), $15.3 million in FY2023 (+37.0%), $11.16 million in FY2022 (+70.5%) and $6.55 million in FY2021 (+664.8%).
- Quarterly Cost of Revenue has moved between $1.34 million (Q3 2025) and $5.79 million (Q4 2023) over five years.
- Compared with a year earlier, Cost of Revenue was higher in two of the last eight quarters, with an average decline of 24.9%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 588.1%); the worst was Q4 2024 (a decline of 58.0%).
- Per Business Quant data, SLE's Cost of Revenue in the three quarters before Q2 2026 was $1.93 million (Q1 2026), $2.19 million (Q4 2025) and $1.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Super League Enterprise | 8.84 Mn | -24.62 Mn | 1.24 Mn | 1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Mn |
| Mar 31, 2026 | 1.93 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 1.34 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 2.43 Mn |
| Sep 30, 2024 | 2.71 Mn |
| Jun 30, 2024 | 2.47 Mn |
| Mar 31, 2024 | 2.48 Mn |
| Dec 31, 2023 | 5.79 Mn |
| Sep 30, 2023 | 4.66 Mn |
| Jun 30, 2023 | 2.91 Mn |
| Mar 31, 2023 | 1.95 Mn |
| Dec 31, 2022 | 4.08 Mn |
| Sep 30, 2022 | 2.72 Mn |
| Jun 30, 2022 | 2.46 Mn |
| Mar 31, 2022 | 1.91 Mn |
| Dec 31, 2021 | 3.42 Mn |
| Sep 30, 2021 | 2.25 Mn |
Super League Enterprise Cost of Revenue 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=cost-of-revenue&ticker=SLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();