Teads Holding (TEAD) Total Non-Current Liabilities (2020 - 2026)
Teads Holding (TEAD) posted Total Non-Current Liabilities of $1.14 billion for Q2 2026, down 7.2% from $1.23 billion a year earlier but up 0.3% from the prior quarter.
Teads Holding (TEAD) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Teads Holding's Total Non-Current Liabilities came in at $1.22 billion, up 290.5% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Teads Holding's Total Non-Current Liabilities was $312.15 million in FY2024 (-26.5%), $424.84 million in FY2023 (-22.0%), $544.55 million in FY2022 (+3.8%) and $524.5 million in FY2021 (+25.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $285.36 million in Q3 2024 to a high of $1.23 billion in Q2 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 119.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 313.5%; the weakest was Q3 2024, with a decline of 27.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.14 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.18 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Teads Holding | 42.17 Mn | -424.44 Mn | 95.60 Mn | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.18 Bn |
| Dec 31, 2024 | 312.15 Mn |
| Sep 30, 2024 | 285.36 Mn |
| Jun 30, 2024 | 392.54 Mn |
| Mar 31, 2024 | 393.64 Mn |
| Dec 31, 2023 | 424.84 Mn |
| Sep 30, 2023 | 394.47 Mn |
| Jun 30, 2023 | 396.15 Mn |
| Mar 31, 2023 | 520.10 Mn |
| Dec 31, 2022 | 544.55 Mn |
| Sep 30, 2022 | 510.92 Mn |
| Jun 30, 2022 | 530.12 Mn |
| Mar 31, 2022 | 523.80 Mn |
| Dec 31, 2021 | 524.50 Mn |
| Sep 30, 2021 | 506.82 Mn |
Teads Holding 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=TEAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=TEAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();