Trade Desk (TTD) Accumulated Expenses (2015 - 2026)
Trade Desk (TTD) posted Accumulated Expenses of $150.17 million for Q2 2026, down 1.5% from $152.48 million a year earlier and down 16.5% from the prior quarter.
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Analysis
Trade Desk (TTD) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Trade Desk's Accumulated Expenses came in at $181.99 million, up 2.4% from FY2024.
- Annual Accumulated Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In prior years, Trade Desk's Accumulated Expenses was $177.76 million in FY2024 (+28.8%), $138 million in FY2023 (+30.8%), $105.47 million in FY2022 (+3.9%) and $101.47 million in FY2021 (+14.9%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 16.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2025, with growth of 60.6%; the weakest was Q1 2026, with a decline of 14.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $179.91 million (Q1 2026), $181.99 million (Q4 2025) and $160.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn |
| 10 | Trade Desk | 6.13 Bn | 493.41 Mn | 530.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.17 Mn |
| Mar 31, 2026 | 179.91 Mn |
| Dec 31, 2025 | 181.99 Mn |
| Sep 30, 2025 | 160.38 Mn |
| Jun 30, 2025 | 152.48 Mn |
| Mar 31, 2025 | 210.81 Mn |
| Dec 31, 2024 | 177.76 Mn |
| Sep 30, 2024 | 142.46 Mn |
| Jun 30, 2024 | 120.22 Mn |
| Mar 31, 2024 | 131.29 Mn |
| Dec 31, 2023 | 138.00 Mn |
| Sep 30, 2023 | 121.62 Mn |
| Jun 30, 2023 | 103.29 Mn |
| Mar 31, 2023 | 100.15 Mn |
| Dec 31, 2022 | 105.47 Mn |
| Sep 30, 2022 | 82.77 Mn |
| Jun 30, 2022 | 79.34 Mn |
| Mar 31, 2022 | 92.90 Mn |
| Dec 31, 2021 | 101.47 Mn |
| Sep 30, 2021 | 77.32 Mn |
API Access
Trade Desk Accumulated Expenses 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=accumulated-expenses&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();