Super League Enterprise (SLE) Cash & Equivalents (2018 - 2026)
Super League Enterprise's Cash & Equivalents was $1.13 million in Q2 2026, up 134.8% from $480,000 a year earlier but down 73.4% from the prior quarter.
Super League Enterprise (SLE) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Super League Enterprise came in at $14.39 million, up 998.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $1.31 million in FY2024 (-82.8%), $7.61 million in FY2023 (+204.4%), $2.5 million in FY2022 (-82.8%) and $14.53 million in FY2021 (+83.0%).
- Quarterly Cash & Equivalents has moved between $300,000 (Q3 2024) and $24.51 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for four straight quarters, with growth averaging 193.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2025 (growth of 998.5%); the worst was Q3 2022 (a decline of 95.3%).
- Per Business Quant data, SLE's Cash & Equivalents in the three quarters before Q2 2026 was $4.23 million (Q1 2026), $14.39 million (Q4 2025) and $1.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Super League Enterprise | 9.22 Mn | -24.23 Mn | 1.24 Mn | 1.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Mn |
| Mar 31, 2026 | 4.23 Mn |
| Dec 31, 2025 | 14.39 Mn |
| Sep 30, 2025 | 1.06 Mn |
| Jun 30, 2025 | 480,000.00 |
| Mar 31, 2025 | 747,000.00 |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 300,000.00 |
| Jun 30, 2024 | 1.70 Mn |
| Mar 31, 2024 | 3.31 Mn |
| Dec 31, 2023 | 7.61 Mn |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 2.60 Mn |
| Mar 31, 2023 | 600,000.00 |
| Dec 31, 2022 | 2.50 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 7.10 Mn |
| Mar 31, 2022 | 7.80 Mn |
| Dec 31, 2021 | 14.53 Mn |
| Sep 30, 2021 | 24.51 Mn |
Super League Enterprise Cash & Equivalents 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=cash-and-equivalents&ticker=SLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();