Super League Enterprise (SLE) Selling, General & Administrative (2018 - 2026)
Super League Enterprise (SLE) recorded Selling, General & Administrative of $1.94 million in Q2 2026, up 17.3% from $1.65 million a year earlier but down 24.8% from the prior quarter.
Super League Enterprise (SLE) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a TTM basis, Super League Enterprise's Selling, General & Administrative came in at $8.56 million as of Jun 30, 2026, up 17.5% year-over-year; for FY2025, it was $7.21 million, down 17.4% from FY2024.
- Annual Selling, General & Administrative has declined for three straight years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $8.73 million in FY2024 (-14.9%), $10.26 million in FY2023 (-15.2%), $12.09 million in FY2022 (+28.2%) and $9.44 million in FY2021 (+23.5%).
- Quarterly Selling, General & Administrative has ranged from $1.52 million in Q1 2025 to $3.25 million in Q3 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for three consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 69.5% in Q1 2026, against a decline of 34.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.58 million (Q1 2026), $2.28 million (Q4 2025) and $1.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Super League Enterprise | 9.22 Mn | -24.23 Mn | 1.24 Mn | 1.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.94 Mn |
| Mar 31, 2026 | 2.58 Mn |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 1.77 Mn |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 2.17 Mn |
| Sep 30, 2024 | 1.94 Mn |
| Jun 30, 2024 | 2.52 Mn |
| Mar 31, 2024 | 2.10 Mn |
| Dec 31, 2023 | 3.16 Mn |
| Sep 30, 2023 | 2.27 Mn |
| Jun 30, 2023 | 2.30 Mn |
| Mar 31, 2023 | 2.52 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 3.25 Mn |
| Jun 30, 2022 | 2.99 Mn |
| Mar 31, 2022 | 2.88 Mn |
| Dec 31, 2021 | 2.62 Mn |
| Sep 30, 2021 | 2.40 Mn |
Super League Enterprise Selling, General & Administrative 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=selling-general-and-administrative&ticker=SLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();