Trade Desk (TTD) Tax Provisions (2015 - 2026)
Trade Desk (TTD) recorded Tax Provisions of $48.7 million in Q2 2026, up 13.1% from $43.07 million a year earlier and up 25.0% from the prior quarter.
Trade Desk (TTD) Tax Provisions (2015 - 2026) Analysis & Trends
On a TTM basis, Trade Desk's Tax Provisions came in at $234.95 million as of Jun 30, 2026, up 67.2% year-over-year; for FY2025, it came in at $215.45 million, up 88.6% from FY2024.
- Annual Tax Provisions has increased for three straight years.
- Across earlier years, Tax Provisions came in at $114.23 million in FY2024 (+28.3%), $89.06 million in FY2023 (+20.4%), $73.99 million in FY2022 and -$15.73 million in FY2021.
- Quarterly Tax Provisions has ranged from -$34.62 million in Q4 2021 to $83.32 million in Q4 2025 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for six consecutive quarters, with growth averaging 56.8% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 111.6% in Q4 2025, against a decline of 37.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.96 million (Q1 2026), $83.32 million (Q4 2025) and $63.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,038.14 Bn | 3,795.67 Bn | 73.85 Bn | 26.56 Bn |
| 2 | Meta Platforms | 1,797.76 Bn | 1,500.28 Bn | 49.47 Bn | 2.91 Bn |
| 3 | Netflix | 278.78 Bn | 238.97 Bn | 6.52 Bn | 667.17 Mn |
| 4 | Alibaba Group Holding | 243.43 Bn | 57.20 Bn | 15.11 Bn | -1.89 Bn |
| 5 | Shopify | 227.36 Bn | 204.55 Bn | 1.71 Bn | 273.00 Mn |
| 6 | Uber Technologies | 139.29 Bn | 111.09 Bn | 6.38 Bn | 840.00 Mn |
| 7 | Booking Holdings | 122.22 Bn | 55.27 Bn | - | 610.00 Mn |
| 8 | PDD Holdings | 110.09 Bn | -133.68 Bn | 9.45 Bn | -898.00 Mn |
| 9 | Spotify Technology | 107.84 Bn | 65.34 Bn | 1.86 Bn | 203.41 Mn |
| 10 | Trade Desk | 5.87 Bn | 228.74 Mn | 530.72 Mn | 48.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.70 Mn |
| Mar 31, 2026 | 38.96 Mn |
| Dec 31, 2025 | 83.32 Mn |
| Sep 30, 2025 | 63.97 Mn |
| Jun 30, 2025 | 43.07 Mn |
| Mar 31, 2025 | 25.09 Mn |
| Dec 31, 2024 | 39.37 Mn |
| Sep 30, 2024 | 33.02 Mn |
| Jun 30, 2024 | 27.46 Mn |
| Mar 31, 2024 | 14.37 Mn |
| Dec 31, 2023 | 63.35 Mn |
| Sep 30, 2023 | 17.65 Mn |
| Jun 30, 2023 | 26.99 Mn |
| Mar 31, 2023 | -18.93 Mn |
| Dec 31, 2022 | 40.93 Mn |
| Sep 30, 2022 | 14.63 Mn |
| Jun 30, 2022 | 21.16 Mn |
| Mar 31, 2022 | -2.74 Mn |
| Dec 31, 2021 | -34.62 Mn |
| Sep 30, 2021 | 19.59 Mn |
Trade Desk Tax Provisions 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=tax-provisions&ticker=TTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();