Trade Desk (TTD) EBIT (2015 - 2026)
Trade Desk's EBIT came in at $101.58 million for Q2 2026, down 13.0% from $116.78 million a year earlier but up 52.4% from the prior quarter.
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Analysis
Trade Desk (TTD) EBIT (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Trade Desk reported EBIT of $586.32 million, up 23.4% year-over-year; for FY2025, it came in at $589.32 million, up 38.0% from FY2024.
- EBIT has increased in each of the last three years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- Going back by year, EBIT was $427.17 million in FY2024 (+113.1%), $200.48 million in FY2023 (+76.4%), $113.65 million in FY2022 (-8.9%) and $124.82 million in FY2021 (-13.4%).
- The five-year range for quarterly EBIT is -$25.36 million (Q4 2021) to $256.87 million (Q4 2025).
- Year-over-year, EBIT increased in seven of the last eight quarters, with growth averaging 53.2%.
- The fastest year-over-year change in EBIT over five years came in Q3 2024 (growth of 187.9%), and the weakest in Q2 2022 (a decline of 97.2%).
- Business Quant data shows TTD's EBIT at $66.65 million (Q1 2026), $256.87 million (Q4 2025) and $161.22 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,034.22 Bn | 3,791.75 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,797.15 Bn | 1,499.67 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 273.71 Bn | 233.91 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 241.56 Bn | 55.33 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 229.43 Bn | 206.61 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 139.52 Bn | 111.32 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 121.14 Bn | 54.19 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 109.46 Bn | -134.32 Bn | 9.45 Bn | 4.08 Bn |
| 9 | Spotify Technology | 107.35 Bn | 64.85 Bn | 1.86 Bn | 761.35 Mn |
| 10 | Trade Desk | 5.84 Bn | 203.03 Mn | 530.72 Mn | 101.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.58 Mn |
| Mar 31, 2026 | 66.65 Mn |
| Dec 31, 2025 | 256.87 Mn |
| Sep 30, 2025 | 161.22 Mn |
| Jun 30, 2025 | 116.78 Mn |
| Mar 31, 2025 | 54.45 Mn |
| Dec 31, 2024 | 195.31 Mn |
| Sep 30, 2024 | 108.48 Mn |
| Jun 30, 2024 | 94.72 Mn |
| Mar 31, 2024 | 28.66 Mn |
| Dec 31, 2023 | 144.44 Mn |
| Sep 30, 2023 | 37.68 Mn |
| Jun 30, 2023 | 41.67 Mn |
| Mar 31, 2023 | -23.31 Mn |
| Dec 31, 2022 | 100.16 Mn |
| Sep 30, 2022 | 28.80 Mn |
| Jun 30, 2022 | 1.74 Mn |
| Mar 31, 2022 | -17.05 Mn |
| Dec 31, 2021 | -25.36 Mn |
| Sep 30, 2021 | 80.45 Mn |
API Access
Trade Desk EBIT 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=ebit&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "TTD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();