Teads Holding (TEAD) Other Operating Expenses (2020 - 2026)
Teads Holding's Other Operating Expenses came in at $70.25 million for Q2 2026, down 11.8% from $79.68 million a year earlier but up 5.7% from the prior quarter.
Teads Holding (TEAD) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Teads Holding reported Other Operating Expenses of $632.77 million, up 219.6% year-over-year; for FY2025, it came in at $645.08 million, up 565.5% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 52.8% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $96.93 million in FY2024 (+0.9%), $96.04 million in FY2023 (-11.7%), $108.82 million in FY2022 (+13.6%) and $95.79 million in FY2021 (+23.5%).
- The five-year range for quarterly Other Operating Expenses is $21.47 million (Q3 2023) to $427.4 million (Q4 2025).
- Year-over-year, Other Operating Expenses increased in four of the last seven quarters, with growth averaging 86.5%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2025 (growth of 226.8%), and the weakest in Q3 2023 (a decline of 20.0%).
- Business Quant data shows TEAD's Other Operating Expenses at $66.46 million (Q1 2026), $427.4 million (Q4 2025) and $68.66 million (Q3 2025) in the three quarters before Q2 2026.
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 | 70.25 Mn |
| Mar 31, 2026 | 66.46 Mn |
| Dec 31, 2025 | 427.40 Mn |
| Sep 30, 2025 | 68.66 Mn |
| Jun 30, 2025 | 79.68 Mn |
| Mar 31, 2025 | 69.35 Mn |
| Dec 31, 2024 | 25.74 Mn |
| Sep 30, 2024 | 23.20 Mn |
| Jun 30, 2024 | 24.38 Mn |
| Mar 31, 2024 | 23.62 Mn |
| Dec 31, 2023 | 26.44 Mn |
| Sep 30, 2023 | 21.47 Mn |
| Jun 30, 2023 | 25.90 Mn |
| Mar 31, 2023 | 25.75 Mn |
| Dec 31, 2022 | 26.45 Mn |
| Sep 30, 2022 | 26.85 Mn |
| Jun 30, 2022 | 28.12 Mn |
| Mar 31, 2022 | 27.40 Mn |
| Dec 31, 2021 | 28.69 Mn |
| Sep 30, 2021 | 26.05 Mn |
Teads Holding Other Operating Expenses 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-operating-expenses&ticker=TEAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=TEAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();