Reborn Coffee (REBN) Price to Sales (2022 - 2026)
Reborn Coffee's Price to Sales came in at 1.02 for Q2 2026, down 50.9% from 2.08 a year earlier.
Analysis
Reborn Coffee (REBN) Price to Sales (2022 - 2026) Analysis & Trends
For FY2025, Reborn Coffee's Price to Sales was 0.97, up 20.1% from FY2024.
- Going back by year, Price to Sales was 0.81 in FY2024 (-92.6%), 10.95 in FY2023 (+228.8%) and 3.33 in FY2022.
- The five-year range for quarterly Price to Sales is 0.35 (Q1 2024) to 10.95 (Q4 2023).
- Year-over-year, Price to Sales increased in three of the last seven quarters, with growth averaging 75.6%.
- The fastest year-over-year change in Price to Sales over five years came in Q1 2025 (growth of 643.9%), and the weakest in Q4 2024 (a decline of 92.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 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 |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Reborn Coffee | 18.79 Mn | 16.13 Mn | 1.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 |
| Dec 31, 2025 | 0.97 |
| Sep 30, 2025 | 2.17 |
| Jun 30, 2025 | 2.08 |
| Mar 31, 2025 | 2.58 |
| Dec 31, 2024 | 0.81 |
| Sep 30, 2024 | 1.31 |
| Jun 30, 2024 | 3.92 |
| Mar 31, 2024 | 0.35 |
| Dec 31, 2023 | 10.95 |
| Sep 30, 2023 | 1.46 |
| Jun 30, 2023 | 2.41 |
| Mar 31, 2023 | 3.39 |
| Dec 31, 2022 | 3.33 |
| Sep 30, 2022 | 7.81 |
API Access
Reborn Coffee Price to Sales 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=price-to-sales&ticker=REBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();