Reborn Coffee (REBN) Operating Expenses (2017 - 2026)
Reborn Coffee's Operating Expenses came in at $7.9 million for Q2 2026, up 26.5% from $6.24 million a year earlier.
Reborn Coffee (REBN) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Reborn Coffee reported Operating Expenses of $18.4 million, up 21.9% year-over-year; for FY2025, it was $13.89 million, up 31.7% from FY2024.
- Operating Expenses has increased in each of the last four years, with a four-year compound annual growth rate of 30.1% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $10.55 million in FY2024 (+4.9%), $10.05 million in FY2023 (+48.2%), $6.78 million in FY2022 (+40.0%) and $4.84 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2021.
- Year-over-year, Operating Expenses increased in five of the last six quarters, with growth averaging 54.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 130.3%), and the weakest in Q3 2024 (a decline of 11.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 2.84 Bn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 1.83 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.83 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 1.54 Bn |
| 10 | Reborn Coffee | 9.74 Mn | 6.53 Mn | 1.69 Mn | 7.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.90 Mn |
| Dec 31, 2025 | -149,226.00 |
| Sep 30, 2025 | 4.40 Mn |
| Jun 30, 2025 | 6.24 Mn |
| Mar 31, 2025 | 3.39 Mn |
| Dec 31, 2024 | 3.47 Mn |
| Sep 30, 2024 | 1.98 Mn |
| Jun 30, 2024 | 2.71 Mn |
| Mar 31, 2024 | 2.38 Mn |
| Dec 31, 2023 | 3.01 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 2.72 Mn |
| Mar 31, 2023 | 2.07 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 1.73 Mn |
| Jun 30, 2022 | 1.72 Mn |
| Mar 31, 2022 | 1.33 Mn |
| Dec 31, 2021 | 1.58 Mn |
| Sep 30, 2021 | 1.76 Mn |
| Jun 30, 2021 | 798,494.00 |
Reborn Coffee 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=REBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "REBN", "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=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();