Teads Holding (TEAD) Other Non-Current Liabilities (2020 - 2026)
Teads Holding (TEAD) posted Other Non-Current Liabilities of $12.39 million for Q2 2026, up 2.0% from $12.14 million a year earlier but down 2.7% from the prior quarter.
Teads Holding (TEAD) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Teads Holding's Other Non-Current Liabilities came in at $13.51 million, up 136.2% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior years, Teads Holding's Other Non-Current Liabilities was $5.72 million in FY2024 (-65.8%), $16.74 million in FY2023 (-11.0%), $18.81 million in FY2022 (+28.7%) and $14.62 million in FY2021 (-14.5%).
- Quarterly Other Non-Current Liabilities has run from a low of $5.72 million in Q4 2024 to a high of $36.63 million in Q1 2025 over five years.
- On a year-over-year basis, Other Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 9.4%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2025, with growth of 136.2%; the weakest was Q4 2024, with a decline of 65.8%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $12.73 million (Q1 2026), $13.51 million (Q4 2025) and $12.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Teads Holding | 50.01 Mn | -416.59 Mn | 95.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.39 Mn |
| Mar 31, 2026 | 12.73 Mn |
| Dec 31, 2025 | 13.51 Mn |
| Sep 30, 2025 | 12.67 Mn |
| Jun 30, 2025 | 12.14 Mn |
| Mar 31, 2025 | 36.63 Mn |
| Dec 31, 2024 | 5.72 Mn |
| Sep 30, 2024 | 17.61 Mn |
| Jun 30, 2024 | 17.70 Mn |
| Mar 31, 2024 | 16.09 Mn |
| Dec 31, 2023 | 16.74 Mn |
| Sep 30, 2023 | 17.60 Mn |
| Jun 30, 2023 | 17.24 Mn |
| Mar 31, 2023 | 17.74 Mn |
| Dec 31, 2022 | 18.81 Mn |
| Sep 30, 2022 | 17.30 Mn |
| Jun 30, 2022 | 17.43 Mn |
| Mar 31, 2022 | 18.77 Mn |
| Dec 31, 2021 | 14.62 Mn |
| Sep 30, 2021 | 15.96 Mn |
Teads Holding Other 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=other-non-current-liabilities&ticker=TEAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "TEAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=TEAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();