Trade Desk (TTD) Operating Leases (2019 - 2026)
Trade Desk (TTD) posted Operating Leases of $353.19 million for Q2 2026, up 30.3% from $271.14 million a year earlier and up 2.1% from the prior quarter.
Powered by 
Analysis
Trade Desk (TTD) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Trade Desk's Operating Leases came in at $359.98 million, up 45.3% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Trade Desk's Operating Leases was $247.72 million in FY2024 (+37.3%), $180.37 million in FY2023 (-13.5%), $208.53 million in FY2022 (-12.5%) and $238.45 million in FY2021 (-6.3%).
- Quarterly Operating Leases has run from a low of $180.37 million in Q4 2023 to a high of $359.98 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last nine quarters, with growth averaging 34.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2025, with growth of 45.6%; the weakest was Q4 2023, with a decline of 13.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $346.07 million (Q1 2026), $359.98 million (Q4 2025) and $302.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn |
| 10 | Trade Desk | 5.92 Bn | 282.65 Mn | 530.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 353.19 Mn |
| Mar 31, 2026 | 346.07 Mn |
| Dec 31, 2025 | 359.98 Mn |
| Sep 30, 2025 | 302.85 Mn |
| Jun 30, 2025 | 271.14 Mn |
| Mar 31, 2025 | 262.67 Mn |
| Dec 31, 2024 | 247.72 Mn |
| Sep 30, 2024 | 230.36 Mn |
| Jun 30, 2024 | 202.77 Mn |
| Mar 31, 2024 | 180.46 Mn |
| Dec 31, 2023 | 180.37 Mn |
| Sep 30, 2023 | 190.21 Mn |
| Jun 30, 2023 | 198.08 Mn |
| Mar 31, 2023 | 200.73 Mn |
| Dec 31, 2022 | 208.53 Mn |
| Sep 30, 2022 | 215.73 Mn |
| Jun 30, 2022 | 219.34 Mn |
| Mar 31, 2022 | 229.49 Mn |
| Dec 31, 2021 | 238.45 Mn |
| Sep 30, 2021 | 247.92 Mn |
API Access
Trade Desk Operating Leases 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-leases&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();