Super League Enterprise (SLE) Operating Expenses (2018 - 2026)
Super League Enterprise (SLE) posted Operating Expenses of $4.89 million for Q2 2026, up 9.8% from $4.45 million a year earlier but down 6.6% from the prior quarter.
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Analysis
Super League Enterprise (SLE) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Super League Enterprise was $18.49 million, down 7.8% year-over-year; for FY2025, it came in at $17.65 million, down 22.8% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Super League Enterprise's Operating Expenses was $22.86 million in FY2024 (-46.4%), $42.62 million in FY2023 (-54.4%), $93.48 million in FY2022 (+209.5%) and $30.21 million in FY2021 (+51.4%).
- Quarterly Operating Expenses has run from a low of $4.13 million in Q3 2025 to a high of $53.87 million in Q3 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 20.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 546.9%; the weakest was Q3 2023, with a decline of 86.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.24 million (Q1 2026), $4.23 million (Q4 2025) and $4.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Super League Enterprise | 7.52 Mn | -25.94 Mn | 1.24 Mn | 4.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.89 Mn |
| Mar 31, 2026 | 5.24 Mn |
| Dec 31, 2025 | 4.23 Mn |
| Sep 30, 2025 | 4.13 Mn |
| Jun 30, 2025 | 4.45 Mn |
| Mar 31, 2025 | 4.83 Mn |
| Dec 31, 2024 | 5.60 Mn |
| Sep 30, 2024 | 5.18 Mn |
| Jun 30, 2024 | 5.74 Mn |
| Mar 31, 2024 | 6.34 Mn |
| Dec 31, 2023 | 16.66 Mn |
| Sep 30, 2023 | 7.04 Mn |
| Jun 30, 2023 | 10.33 Mn |
| Mar 31, 2023 | 8.59 Mn |
| Dec 31, 2022 | 19.22 Mn |
| Sep 30, 2022 | 53.87 Mn |
| Jun 30, 2022 | 10.56 Mn |
| Mar 31, 2022 | 9.82 Mn |
| Dec 31, 2021 | 9.94 Mn |
| Sep 30, 2021 | 8.33 Mn |
API Access
Super League Enterprise Operating Expenses 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=operating-expenses&ticker=SLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();