Trade Desk (TTD) EBITDA (2015 - 2026)
Trade Desk's EBITDA came in at $131.72 million for Q2 2026, down 8.2% from $143.48 million a year earlier but up 34.3% from the prior quarter.
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Analysis
Trade Desk (TTD) EBITDA (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Trade Desk reported EBITDA of $712.98 million, up 25.0% year-over-year; for FY2025, it was $705.11 million, up 37.0% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- Going back by year, EBITDA was $514.66 million in FY2024 (+83.2%), $280.9 million in FY2023 (+67.1%), $168.08 million in FY2022 (+0.6%) and $167.04 million in FY2021 (-3.4%).
- The five-year range for quarterly EBITDA is -$13.11 million (Q4 2021) to $288.83 million (Q4 2025).
- Year-over-year, EBITDA increased in seven of the last eight quarters, with growth averaging 41.7%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2023 (growth of 340.5%), and the weakest in Q2 2022 (a decline of 80.8%).
- Business Quant data shows TTD's EBITDA at $98.08 million (Q1 2026), $288.83 million (Q4 2025) and $194.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.53 Bn |
| 10 | Trade Desk | 5.80 Bn | 155.62 Mn | 530.72 Mn | 131.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.72 Mn |
| Mar 31, 2026 | 98.08 Mn |
| Dec 31, 2025 | 288.83 Mn |
| Sep 30, 2025 | 194.35 Mn |
| Jun 30, 2025 | 143.48 Mn |
| Mar 31, 2025 | 78.44 Mn |
| Dec 31, 2024 | 219.42 Mn |
| Sep 30, 2024 | 129.24 Mn |
| Jun 30, 2024 | 115.60 Mn |
| Mar 31, 2024 | 50.40 Mn |
| Dec 31, 2023 | 164.97 Mn |
| Sep 30, 2023 | 58.21 Mn |
| Jun 30, 2023 | 61.74 Mn |
| Mar 31, 2023 | -4.02 Mn |
| Dec 31, 2022 | 117.00 Mn |
| Sep 30, 2022 | 41.76 Mn |
| Jun 30, 2022 | 14.02 Mn |
| Mar 31, 2022 | -4.70 Mn |
| Dec 31, 2021 | -13.11 Mn |
| Sep 30, 2021 | 89.40 Mn |
API Access
Trade Desk EBITDA 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=ebitda&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();