DoorDash (DASH) Operating Expenses (2020 - 2026)
DoorDash (DASH) reported Operating Expenses of $4.3 billion for Q2 2026, up 37.7% from $3.12 billion a year earlier and up 10.6% from the prior quarter.
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Analysis
DoorDash (DASH) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DoorDash's Operating Expenses came in at $15.18 billion, up 33.7% year-over-year; for FY2025, it was $12.99 billion, up 20.8% from FY2024.
- Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.76 billion in FY2024 (+16.8%), $9.21 billion in FY2023 (+19.6%), $7.71 billion in FY2022 (+44.3%) and $5.34 billion in FY2021 (+60.7%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2020.
- Year over year, Operating Expenses has now increased in each of the last 22 quarters, with growth averaging 23.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 9.3% in Q4 2023 to 50.5% in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.89 billion (Q1 2026), $3.81 billion (Q4 2025) and $3.19 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 258.66 Bn | 82.26 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | 640.46 Mn |
| 10 | DoorDash | 85.13 Bn | 64.52 Bn | 2.35 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.30 Bn |
| Mar 31, 2026 | 3.89 Bn |
| Dec 31, 2025 | 3.81 Bn |
| Sep 30, 2025 | 3.19 Bn |
| Jun 30, 2025 | 3.12 Bn |
| Mar 31, 2025 | 2.88 Bn |
| Dec 31, 2024 | 2.76 Bn |
| Sep 30, 2024 | 2.60 Bn |
| Jun 30, 2024 | 2.83 Bn |
| Mar 31, 2024 | 2.57 Bn |
| Dec 31, 2023 | 2.39 Bn |
| Sep 30, 2023 | 2.27 Bn |
| Jun 30, 2023 | 2.34 Bn |
| Mar 31, 2023 | 2.21 Bn |
| Dec 31, 2022 | 2.19 Bn |
| Sep 30, 2022 | 2.01 Bn |
| Jun 30, 2022 | 1.88 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.45 Bn |
| Sep 30, 2021 | 1.38 Bn |
API Access
DoorDash 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=operating-expenses&ticker=DASH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=DASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();