Trade Desk (TTD) Operating Income (2015 - 2026)
Trade Desk's Operating Income was $101.58 million in 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) Operating Income (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Trade Desk's Operating Income was $586.32 million through Jun 30, 2026, up 23.4% year-over-year; for FY2025, it was $589.32 million, up 38.0% from FY2024.
- Operating Income has now increased for three consecutive years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- In earlier years, Operating Income 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%).
- Quarterly Operating Income has moved between -$25.36 million (Q4 2021) and $256.87 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Income was higher in seven of the last eight quarters, with growth averaging 53.2%.
- The best year-over-year quarter for Operating Income over five years was Q3 2024 (growth of 187.9%); the worst was Q2 2022 (a decline of 97.2%).
- Per Business Quant data, TTD's Operating Income in the three quarters before Q2 2026 was $66.65 million (Q1 2026), $256.87 million (Q4 2025) and $161.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 40.77 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 18.78 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 2.23 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 488.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.89 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 2.50 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 4.09 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.49 Bn |
| 10 | Trade Desk | 5.80 Bn | 155.62 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 Operating Income 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=operating-income&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();