Nexxen International (NEXN) Total Non-Current Liabilities (2020 - 2026)
Nexxen International (NEXN) posted Total Non-Current Liabilities of $22.29 million for Q2 2026, up 22.2% from $18.24 million a year earlier and up 28.5% from the prior quarter.
Nexxen International (NEXN) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Nexxen International's Total Non-Current Liabilities came in at $19.37 million, down 17.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Nexxen International's Total Non-Current Liabilities was $23.6 million in FY2024 (-82.1%), $131.82 million in FY2023 (+6.3%), $123.98 million in FY2022 and $9.7 million in FY2021 (-53.4%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 33.4%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 424.4%; the weakest was Q4 2024, with a decline of 82.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $17.34 million (Q1 2026), $19.37 million (Q4 2025) and $19.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.21 Bn |
| 10 | Nexxen International | 506.56 Mn | -150.09 Mn | 81.73 Mn | 22.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.29 Mn |
| Mar 31, 2026 | 17.34 Mn |
| Dec 31, 2025 | 19.37 Mn |
| Sep 30, 2025 | 19.48 Mn |
| Jun 30, 2025 | 18.24 Mn |
| Mar 31, 2025 | 20.63 Mn |
| Dec 31, 2024 | 23.60 Mn |
| Sep 30, 2024 | 24.70 Mn |
| Jun 30, 2024 | 28.22 Mn |
| Mar 31, 2024 | 31.90 Mn |
| Dec 31, 2023 | 131.82 Mn |
| Sep 30, 2023 | 135.20 Mn |
| Jun 30, 2023 | 137.93 Mn |
| Mar 31, 2023 | 128.52 Mn |
| Dec 31, 2022 | 123.98 Mn |
| Sep 30, 2022 | 122.90 Mn |
| Jun 30, 2022 | 7.42 Mn |
| Mar 31, 2022 | 8.59 Mn |
| Dec 31, 2021 | 9.70 Mn |
| Sep 30, 2021 | 23.44 Mn |
Nexxen International Total Non-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-non-current-liabilities&ticker=NEXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NEXN", "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-non-current-liabilities&ticker=NEXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();