Super League Enterprise (SLE) Total Current Liabilities (2018 - 2026)
Super League Enterprise's Total Current Liabilities came in at $5.7 million for Q2 2026, down 53.8% from $12.34 million a year earlier but up 18.6% from the prior quarter.
Super League Enterprise (SLE) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Super League Enterprise's Total Current Liabilities was $4.18 million, down 60.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $10.45 million in FY2024 (-21.9%), $13.37 million in FY2023 (+25.0%), $10.69 million in FY2022 (+91.3%) and $5.59 million in FY2021 (+205.6%).
- The five-year range for quarterly Total Current Liabilities is $4.06 million (Q1 2022) to $13.37 million (Q4 2023).
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 17.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2021 (growth of 461.2%), and the weakest in Q1 2026 (a decline of 62.6%).
- Business Quant data shows SLE's Total Current Liabilities at $4.81 million (Q1 2026), $4.18 million (Q4 2025) and $9.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.01 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.35 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.25 Bn |
| 10 | Super League Enterprise | 7.52 Mn | -25.94 Mn | 1.24 Mn | 5.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.70 Mn |
| Mar 31, 2026 | 4.81 Mn |
| Dec 31, 2025 | 4.18 Mn |
| Sep 30, 2025 | 9.61 Mn |
| Jun 30, 2025 | 12.34 Mn |
| Mar 31, 2025 | 12.87 Mn |
| Dec 31, 2024 | 10.45 Mn |
| Sep 30, 2024 | 8.11 Mn |
| Jun 30, 2024 | 9.69 Mn |
| Mar 31, 2024 | 9.83 Mn |
| Dec 31, 2023 | 13.37 Mn |
| Sep 30, 2023 | 10.20 Mn |
| Jun 30, 2023 | 7.51 Mn |
| Mar 31, 2023 | 9.48 Mn |
| Dec 31, 2022 | 10.69 Mn |
| Sep 30, 2022 | 11.60 Mn |
| Jun 30, 2022 | 9.49 Mn |
| Mar 31, 2022 | 4.06 Mn |
| Dec 31, 2021 | 5.59 Mn |
| Sep 30, 2021 | 4.25 Mn |
Super League Enterprise Total Current Liabilities 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=total-current-liabilities&ticker=SLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();