Trade Desk (TTD) Selling, General & Administrative (2015 - 2026)
Trade Desk (TTD) reported Selling, General & Administrative of $114 million for Q2 2026, down 12.9% from $130.9 million a year earlier and down 9.0% from the prior quarter.
Trade Desk (TTD) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Trade Desk's Selling, General & Administrative came in at $493.31 million, down 7.8% year-over-year; for FY2025, it came in at $518.46 million, down 3.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $535.82 million in FY2024 (+3.0%), $520.28 million in FY2023 (-0.9%), $525.17 million in FY2022 (+40.2%) and $374.66 million in FY2021 (+118.3%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q3 2021.
- Year over year, Selling, General & Administrative has now declined in each of the last five quarters, with an average decline of 3.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 302.4%); the low point was Q4 2022 (a decline of 38.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $125.34 million (Q1 2026), $122.63 million (Q4 2025) and $131.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 217.00 Mn |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | 172.03 Mn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | -345.00 Mn |
| 10 | Trade Desk | 6.13 Bn | 493.41 Mn | 530.72 Mn | 114.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.00 Mn |
| Mar 31, 2026 | 125.34 Mn |
| Dec 31, 2025 | 122.63 Mn |
| Sep 30, 2025 | 131.34 Mn |
| Jun 30, 2025 | 130.90 Mn |
| Mar 31, 2025 | 133.59 Mn |
| Dec 31, 2024 | 131.91 Mn |
| Sep 30, 2024 | 138.88 Mn |
| Jun 30, 2024 | 135.47 Mn |
| Mar 31, 2024 | 129.56 Mn |
| Dec 31, 2023 | 131.87 Mn |
| Sep 30, 2023 | 131.97 Mn |
| Jun 30, 2023 | 126.13 Mn |
| Mar 31, 2023 | 130.31 Mn |
| Dec 31, 2022 | 133.65 Mn |
| Sep 30, 2022 | 130.89 Mn |
| Jun 30, 2022 | 134.83 Mn |
| Mar 31, 2022 | 125.80 Mn |
| Dec 31, 2021 | 218.78 Mn |
| Sep 30, 2021 | 52.12 Mn |
Trade Desk Selling, General & Administrative 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=selling-general-and-administrative&ticker=TTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();