Dutch Bros (BROS) Operating Expenses (2020 - 2026)
Dutch Bros (BROS) recorded Operating Expenses of $480.45 million in Q2 2026, up 33.0% from $361.15 million a year earlier and up 11.7% from the prior quarter.
Dutch Bros (BROS) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Dutch Bros' Operating Expenses came in at $1.7 billion as of Jun 30, 2026, up 29.2% year-over-year; for FY2025, it was $1.48 billion, up 25.7% from FY2024.
- Annual Operating Expenses has increased for six straight years, with a five-year compound annual growth rate of 36.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.17 billion in FY2024 (+27.8%), $919.55 million in FY2023 (+24.0%), $741.62 million in FY2022 (+21.8%) and $609.1 million in FY2021 (+92.5%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2020.
- On a year-over-year basis, Operating Expenses has increased for 15 consecutive quarters, with growth averaging 28.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 210.7% in Q3 2021, against a decline of 20.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $430.11 million (Q1 2026), $409.65 million (Q4 2025) and $382.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.54 Bn |
| 10 | Dutch Bros | 5.53 Bn | 4.46 Bn | 151.06 Mn | 480.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 480.45 Mn |
| Mar 31, 2026 | 430.11 Mn |
| Dec 31, 2025 | 409.65 Mn |
| Sep 30, 2025 | 382.09 Mn |
| Jun 30, 2025 | 361.15 Mn |
| Mar 31, 2025 | 324.08 Mn |
| Dec 31, 2024 | 327.01 Mn |
| Sep 30, 2024 | 305.70 Mn |
| Jun 30, 2024 | 292.73 Mn |
| Mar 31, 2024 | 249.52 Mn |
| Dec 31, 2023 | 251.94 Mn |
| Sep 30, 2023 | 239.81 Mn |
| Jun 30, 2023 | 230.30 Mn |
| Mar 31, 2023 | 197.50 Mn |
| Dec 31, 2022 | 198.06 Mn |
| Sep 30, 2022 | 193.47 Mn |
| Jun 30, 2022 | 183.71 Mn |
| Mar 31, 2022 | 166.38 Mn |
| Dec 31, 2021 | 147.17 Mn |
| Sep 30, 2021 | 244.48 Mn |
Dutch Bros 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=BROS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BROS", "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=BROS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();