DoorDash (DASH) Change in Accured Expenses (2020 - 2026)
DoorDash's Change in Accured Expenses came in at $111 million for Q2 2026, compared with -$84 million a year earlier.
DoorDash (DASH) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DoorDash reported Change in Accured Expenses of $651 million, up 70.4% year-over-year; for FY2025, it came in at $577 million, down 38.8% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $943 million in FY2024 (+34.3%), $702 million in FY2023 (+24.0%), $566 million in FY2022 (-4.9%) and $595 million in FY2021 (+1.4%).
- The five-year range for quarterly Change in Accured Expenses is -$84 million (Q2 2025) to $486 million (Q3 2025).
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q1 2024 (growth of 500.0%), and the weakest in Q4 2025 (a decline of 82.0%).
- Business Quant data shows DASH's Change in Accured Expenses at -$27 million (Q1 2026), $81 million (Q4 2025) and $486 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | - |
| 10 | DoorDash | 85.13 Bn | 64.52 Bn | 2.35 Bn | 111.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.00 Mn |
| Mar 31, 2026 | -27.00 Mn |
| Dec 31, 2025 | 81.00 Mn |
| Sep 30, 2025 | 486.00 Mn |
| Jun 30, 2025 | -84.00 Mn |
| Mar 31, 2025 | 94.00 Mn |
| Dec 31, 2024 | 449.00 Mn |
| Sep 30, 2024 | -77.00 Mn |
| Jun 30, 2024 | 265.00 Mn |
| Mar 31, 2024 | 306.00 Mn |
| Dec 31, 2023 | 233.00 Mn |
| Sep 30, 2023 | 288.00 Mn |
| Jun 30, 2023 | 130.00 Mn |
| Mar 31, 2023 | 51.00 Mn |
| Dec 31, 2022 | 410.00 Mn |
| Sep 30, 2022 | 162.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | -44.00 Mn |
| Dec 31, 2021 | 354.00 Mn |
| Sep 30, 2021 | 88.00 Mn |
DoorDash Change in Accured Expenses 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-accured-expenses&ticker=DASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "DASH", "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-accured-expenses&ticker=DASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();