Trade Desk (TTD) Total Liabilities (2015 - 2026)
Trade Desk (TTD) posted Total Liabilities of $3.19 billion for Q2 2026, down 2.2% from $3.26 billion a year earlier and down 2.8% from the prior quarter.
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Analysis
Trade Desk (TTD) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Trade Desk's Total Liabilities came in at $3.67 billion, up 16.0% from FY2024.
- Annual Total Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- In prior years, Trade Desk's Total Liabilities was $3.16 billion in FY2024 (+16.1%), $2.72 billion in FY2023 (+20.3%), $2.27 billion in FY2022 (+10.5%) and $2.05 billion in FY2021 (+17.8%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 14.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 29.1%; the weakest was Q2 2026, with a decline of 2.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $3.28 billion (Q1 2026), $3.67 billion (Q4 2025) and $3.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,048.90 Bn | 3,806.42 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,804.49 Bn | 1,507.01 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 279.70 Bn | 239.90 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 243.62 Bn | 57.40 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 227.56 Bn | 204.74 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.10 Bn | 110.90 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 122.87 Bn | 55.92 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 110.30 Bn | -133.48 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 108.11 Bn | 65.61 Bn | 1.86 Bn | 6.13 Bn |
| 10 | Trade Desk | 5.87 Bn | 231.13 Mn | 530.72 Mn | 3.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.19 Bn |
| Mar 31, 2026 | 3.28 Bn |
| Dec 31, 2025 | 3.67 Bn |
| Sep 30, 2025 | 3.34 Bn |
| Jun 30, 2025 | 3.26 Bn |
| Mar 31, 2025 | 2.99 Bn |
| Dec 31, 2024 | 3.16 Bn |
| Sep 30, 2024 | 2.88 Bn |
| Jun 30, 2024 | 2.75 Bn |
| Mar 31, 2024 | 2.50 Bn |
| Dec 31, 2023 | 2.72 Bn |
| Sep 30, 2023 | 2.36 Bn |
| Jun 30, 2023 | 2.28 Bn |
| Mar 31, 2023 | 2.06 Bn |
| Dec 31, 2022 | 2.27 Bn |
| Sep 30, 2022 | 2.01 Bn |
| Jun 30, 2022 | 1.89 Bn |
| Mar 31, 2022 | 1.78 Bn |
| Dec 31, 2021 | 2.05 Bn |
| Sep 30, 2021 | 1.69 Bn |
API Access
Trade Desk Total Liabilities 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=total-liabilities&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();