Trade Desk (TTD) Cash from Operations (2015 - 2026)
Trade Desk (TTD) recorded Cash from Operations of $153.59 million in Q2 2026, down 6.9% from $165.01 million a year earlier and down 60.8% from the prior quarter.
Trade Desk (TTD) Cash from Operations (2015 - 2026) Analysis & Trends
On a TTM basis, Trade Desk's Cash from Operations came in at $1.08 billion as of Jun 30, 2026, up 16.4% year-over-year; for FY2025, it came in at $992.72 million, up 34.3% from FY2024.
- Annual Cash from Operations has increased for four straight years, with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $739.46 million in FY2024 (+23.6%), $598.32 million in FY2023 (+9.0%), $548.73 million in FY2022 (+45.0%) and $378.51 million in FY2021 (-6.6%).
- The Q2 2026 figure is the lowest quarterly Cash from Operations since Q2 2024.
- On a year-over-year basis, Cash from Operations rose in six of the last eight quarters, with growth averaging 48.5%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 784.8% in Q2 2022, against a decline of 47.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $391.81 million (Q1 2026), $311.59 million (Q4 2025) and $224.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 39.07 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 31.86 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 1.74 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 3.38 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 658.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 2.86 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 3.72 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 3.77 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 948.49 Mn |
| 10 | Trade Desk | 5.92 Bn | 282.65 Mn | 530.72 Mn | 153.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.59 Mn |
| Mar 31, 2026 | 391.81 Mn |
| Dec 31, 2025 | 311.59 Mn |
| Sep 30, 2025 | 224.69 Mn |
| Jun 30, 2025 | 165.01 Mn |
| Mar 31, 2025 | 291.43 Mn |
| Dec 31, 2024 | 199.40 Mn |
| Sep 30, 2024 | 273.32 Mn |
| Jun 30, 2024 | 81.26 Mn |
| Mar 31, 2024 | 185.47 Mn |
| Dec 31, 2023 | 91.12 Mn |
| Sep 30, 2023 | 191.54 Mn |
| Jun 30, 2023 | 128.09 Mn |
| Mar 31, 2023 | 187.57 Mn |
| Dec 31, 2022 | 173.48 Mn |
| Sep 30, 2022 | 137.30 Mn |
| Jun 30, 2022 | 91.77 Mn |
| Mar 31, 2022 | 146.19 Mn |
| Dec 31, 2021 | 163.39 Mn |
| Sep 30, 2021 | 129.68 Mn |
Trade Desk Cash from Operations 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=cash-from-operations&ticker=TTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();