Teads Holding (TEAD) Cost of Revenue (2020 - 2026)
Teads Holding's Cost of Revenue came in at $188.99 million for Q2 2026, down 15.2% from $222.83 million a year earlier but up 3.6% from the prior quarter.
Teads Holding (TEAD) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Teads Holding reported Cost of Revenue of $816.23 million, up 4.6% year-over-year; for FY2025, it was $871.41 million, up 24.9% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $697.77 million in FY2024 (-7.1%), $751.02 million in FY2023 (-6.1%), $799.43 million in FY2022 (+3.1%) and $775.37 million in FY2021 (+28.8%).
- The five-year range for quarterly Cost of Revenue is $168.57 million (Q2 2024) to $231.85 million (Q4 2025).
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with growth averaging 7.6%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2025 (growth of 32.2%), and the weakest in Q2 2026 (a decline of 15.2%).
- Business Quant data shows TEAD's Cost of Revenue at $182.37 million (Q1 2026), $231.85 million (Q4 2025) and $213.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Teads Holding | 54.92 Mn | -411.69 Mn | 95.60 Mn | 188.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.99 Mn |
| Mar 31, 2026 | 182.37 Mn |
| Dec 31, 2025 | 231.85 Mn |
| Sep 30, 2025 | 213.02 Mn |
| Jun 30, 2025 | 222.83 Mn |
| Mar 31, 2025 | 203.71 Mn |
| Dec 31, 2024 | 178.52 Mn |
| Sep 30, 2024 | 175.31 Mn |
| Jun 30, 2024 | 168.57 Mn |
| Mar 31, 2024 | 175.37 Mn |
| Dec 31, 2023 | 195.00 Mn |
| Sep 30, 2023 | 183.63 Mn |
| Jun 30, 2023 | 181.78 Mn |
| Mar 31, 2023 | 190.62 Mn |
| Dec 31, 2022 | 209.88 Mn |
| Sep 30, 2022 | 187.10 Mn |
| Jun 30, 2022 | 202.16 Mn |
| Mar 31, 2022 | 200.29 Mn |
| Dec 31, 2021 | 222.21 Mn |
| Sep 30, 2021 | 190.52 Mn |
Teads Holding Cost of Revenue 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=cost-of-revenue&ticker=TEAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TEAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();