Super League Enterprise (SLE) Non-Current Assets (2018 - 2026)
Super League Enterprise's Non-Current Assets came in at $8.23 million for Q2 2026, up 74.1% from $4.73 million a year earlier and up 111.3% from the prior quarter.
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Analysis
Super League Enterprise (SLE) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Super League Enterprise's Non-Current Assets was $3.66 million, down 38.6% from FY2024.
- Non-Current Assets has declined in each of the last four years, with a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $5.96 million in FY2024 (-30.5%), $8.57 million in FY2023 (-57.6%), $20.21 million in FY2022 (-72.9%) and $74.61 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Non-Current Assets since Q4 2023.
- Year-over-year, Non-Current Assets increased in 1 of the last eight quarters, with an average decline of 23.7%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2026 (growth of 74.1%), and the weakest in Q2 2023 (a decline of 75.2%).
- Business Quant data shows SLE's Non-Current Assets at $3.9 million (Q1 2026), $3.66 million (Q4 2025) and $4.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.88 Bn |
| 10 | Super League Enterprise | 7.52 Mn | -25.94 Mn | 1.24 Mn | 8.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.23 Mn |
| Mar 31, 2026 | 3.90 Mn |
| Dec 31, 2025 | 3.66 Mn |
| Sep 30, 2025 | 4.24 Mn |
| Jun 30, 2025 | 4.73 Mn |
| Mar 31, 2025 | 5.51 Mn |
| Dec 31, 2024 | 5.96 Mn |
| Sep 30, 2024 | 6.99 Mn |
| Jun 30, 2024 | 7.45 Mn |
| Mar 31, 2024 | 7.92 Mn |
| Dec 31, 2023 | 8.57 Mn |
| Sep 30, 2023 | 16.88 Mn |
| Jun 30, 2023 | 18.13 Mn |
| Mar 31, 2023 | 19.17 Mn |
| Dec 31, 2022 | 20.21 Mn |
| Sep 30, 2022 | 29.65 Mn |
| Jun 30, 2022 | 73.13 Mn |
| Mar 31, 2022 | 73.72 Mn |
| Dec 31, 2021 | 74.61 Mn |
| Sep 30, 2021 | 69.54 Mn |
API Access
Super League Enterprise Non-Current Assets 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=non-current-assets&ticker=SLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();