Reborn Coffee (REBN) Cost of Revenue (2021 - 2026)
Reborn Coffee (REBN) reported Cost of Revenue of $4.63 million for Q2 2026.
Analysis
Reborn Coffee (REBN) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Reborn Coffee's Cost of Revenue came in at $4.74 million; for FY2025, it came in at $650,293, up 357.6% from FY2024.
- Cost of Revenue has increased for three consecutive years, with a four-year compound annual growth rate of 110.3% (FY2021 to FY2025).
- By year, Cost of Revenue came in at $142,114 in FY2024 (+34.4%), $105,714 in FY2023 (+330.7%), $24,542 in FY2022 (-26.1%) and $33,231 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Reborn Coffee | 18.79 Mn | 16.13 Mn | 1.69 Mn | 4.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2024 | 20,327.00 |
| Dec 31, 2023 | 77,686.00 |
| Sep 30, 2023 | 11,564.00 |
| Jun 30, 2023 | 10,652.00 |
| Mar 31, 2023 | 5,812.00 |
| Dec 31, 2022 | 6,765.00 |
| Sep 30, 2022 | 4,780.00 |
| Jun 30, 2022 | 5,484.00 |
| Mar 31, 2022 | 7,513.00 |
| Dec 31, 2021 | 12,220.00 |
| Sep 30, 2021 | 8,599.00 |
| Jun 30, 2021 | 6,732.00 |
API Access
Reborn Coffee Cost of Revenue 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=cost-of-revenue&ticker=REBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();