Trade Desk (TTD) Change in Receivables (2015 - 2026)
Trade Desk (TTD) recorded Change in Receivables of -$118.82 million in Q2 2026, compared with $202.3 million a year earlier.
Trade Desk (TTD) Change in Receivables (2015 - 2026) Analysis & Trends
On a TTM basis, Trade Desk's Change in Receivables came in at -$35.36 million as of Jun 30, 2026; for FY2025, it came in at $432.72 million, down 8.8% from FY2024.
- Annual Change in Receivables has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Change in Receivables came in at $474.23 million in FY2024 (-14.4%), $554.01 million in FY2023 (+89.9%), $291.75 million in FY2022 (-34.3%) and $444.34 million in FY2021 (+6.3%).
- Quarterly Change in Receivables has ranged from -$429.29 million in Q1 2026 to $423.36 million in Q4 2023 over the past five years.
- On a year-over-year basis, Change in Receivables rose in 1 of the last five quarters, with growth averaging 22.8%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 199.9% in Q3 2025, against a decline of 63.9% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -$429.29 million (Q1 2026), $283.67 million (Q4 2025) and $229.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 6.54 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 4.40 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | - |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 425.00 Mn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 950.00 Mn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | -92.99 Mn |
| 10 | Trade Desk | 5.90 Bn | 261.57 Mn | 530.72 Mn | -118.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -118.82 Mn |
| Mar 31, 2026 | -429.29 Mn |
| Dec 31, 2025 | 283.67 Mn |
| Sep 30, 2025 | 229.09 Mn |
| Jun 30, 2025 | 202.30 Mn |
| Mar 31, 2025 | -282.34 Mn |
| Dec 31, 2024 | 348.52 Mn |
| Sep 30, 2024 | 76.39 Mn |
| Jun 30, 2024 | 287.47 Mn |
| Mar 31, 2024 | -238.15 Mn |
| Dec 31, 2023 | 423.36 Mn |
| Sep 30, 2023 | 95.28 Mn |
| Jun 30, 2023 | 293.53 Mn |
| Mar 31, 2023 | -258.17 Mn |
| Dec 31, 2022 | 316.65 Mn |
| Sep 30, 2022 | 87.44 Mn |
| Jun 30, 2022 | 147.14 Mn |
| Mar 31, 2022 | -259.48 Mn |
| Dec 31, 2021 | 395.71 Mn |
| Sep 30, 2021 | 98.44 Mn |
Trade Desk Change in Receivables 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=change-in-receivables&ticker=TTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();