DoorDash (DASH) Other Operating Expenses (2020 - 2026)
DoorDash (DASH) posted Other Operating Expenses of $2.9 billion for Q2 2026, up 10.36% on a QoQ basis from $2.6 billion in Q1 2026, and up 37.94% year-over-year from $2.1 billion in Q2 2025.
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Analysis
DoorDash (DASH) Other Operating Expenses (2020 - 2026) Analysis & Trends
DoorDash has reported Other Operating Expenses for 7 years, with the latest figure at $2.9 billion in Q2 2026.
- On a quarterly basis, Other Operating Expenses rose 37.94% year-over-year to $2.9 billion in Q2 2026; TTM through Jun 2026 was $10.2 billion, a 33.75% increase from a year earlier, with the FY2025 full-year figure at $8.8 billion, up 22.34% from the prior year.
- Other Operating Expenses was $2.9 billion for Q2 2026 at DoorDash, up from $2.6 billion in the prior quarter.
- The five-year high for Other Operating Expenses was $2.9 billion in Q2 2026, with the low at $943.0 million in Q1 2022.
- Average Other Operating Expenses over 5 years is $1.8 billion, with a median of $1.7 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2025: Other Operating Expenses jumped 72.82% in 2022, then advanced 11.93% in 2025.
- Over 5 years, Other Operating Expenses stood at $1.3 billion in 2022, then rose by 17.7% to $1.6 billion in 2023, then grew by 17.69% to $1.9 billion in 2024, then jumped by 37.63% to $2.6 billion in 2025, then grew by 12.6% to $2.9 billion in 2026.
- The last three Other Operating Expenses figures came in at $2.9 billion (Q2 2026), $2.6 billion (Q1 2026), and $2.6 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Uber Technologies | 143.82 Bn | 138.61 Bn | 6.38 Bn |
| 2 | DoorDash | 83.59 Bn | 78.26 Bn | 2.35 Bn |
| 3 | Grab Holdings | 11.46 Bn | 7.73 Bn | 435.00 Mn |
| 4 | Lyft | 5.72 Bn | 3.92 Bn | 917.12 Mn |
| 5 | Marti Technologies | 172.09 Mn | 159.58 Mn | 15.30 Mn |
| 6 | Ryde | 90.02 Mn | 90.02 Mn | - |
| 7 | Swvl Holdings | 42.55 Mn | 35.16 Mn | - |
| 8 | Scientific Energy | 7.90 Mn | -601,872.18 | 7.63 Mn |
| 9 | Pony | 689,999.98 | 680,158.98 | 3,440.00 |
| 10 | Freight Technologies | 71,357.58 | -275,360.42 | 373,200.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 Bn |
| Mar 31, 2026 | 2.62 Bn |
| Dec 31, 2025 | 2.56 Bn |
| Sep 30, 2025 | 2.17 Bn |
| Jun 30, 2025 | 2.09 Bn |
| Mar 31, 2025 | 1.92 Bn |
| Dec 31, 2024 | 1.86 Bn |
| Sep 30, 2024 | 1.77 Bn |
| Jun 30, 2024 | 1.80 Bn |
| Mar 31, 2024 | 1.72 Bn |
| Dec 31, 2023 | 1.58 Bn |
| Sep 30, 2023 | 1.50 Bn |
| Jun 30, 2023 | 1.50 Bn |
| Mar 31, 2023 | 1.39 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 1.25 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 943.00 Mn |
| Dec 31, 2021 | 795.00 Mn |
| Sep 30, 2021 | 721.00 Mn |
API Access
DoorDash Other Operating 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=other-operating-expenses&ticker=DASH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=DASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();