Trade Desk (TTD) Cash & Equivalents (2015 - 2026)
Trade Desk (TTD) recorded Cash & Equivalents of $1.12 billion in Q2 2026, up 25.3% from $896.39 million a year earlier and up 27.8% from the prior quarter.
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Analysis
Trade Desk (TTD) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Trade Desk reported Cash & Equivalents of $658.18 million, down 51.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $1.37 billion in FY2024 (+53.0%), $895.13 million in FY2023 (-13.1%), $1.03 billion in FY2022 (+36.6%) and $754.15 million in FY2021 (+72.4%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q4 2024.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with an average decline of 2.1%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 95.6% in Q2 2022, against a decline of 51.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $878.38 million (Q1 2026), $658.18 million (Q4 2025) and $653.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 6.78 Bn |
| 10 | Trade Desk | 5.92 Bn | 282.65 Mn | 530.72 Mn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 878.38 Mn |
| Dec 31, 2025 | 658.18 Mn |
| Sep 30, 2025 | 653.13 Mn |
| Jun 30, 2025 | 896.39 Mn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.37 Bn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 1.01 Bn |
| Mar 31, 2024 | 918.20 Mn |
| Dec 31, 2023 | 895.13 Mn |
| Sep 30, 2023 | 1.07 Bn |
| Jun 30, 2023 | 965.83 Mn |
| Mar 31, 2023 | 892.70 Mn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 994.66 Mn |
| Jun 30, 2022 | 932.68 Mn |
| Mar 31, 2022 | 844.22 Mn |
| Dec 31, 2021 | 754.15 Mn |
| Sep 30, 2021 | 576.92 Mn |
API Access
Trade Desk Cash & Equivalents 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-and-equivalents&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();