Reborn Coffee (REBN) Receivables - Net (2022 - 2026)
Reborn Coffee (REBN) recorded Receivables - Net of $1.01 million in Q2 2026, compared with $68,109 a year earlier.
Analysis
Reborn Coffee (REBN) Receivables - Net (2022 - 2026) Analysis & Trends
At the end of FY2025, Reborn Coffee reported Receivables - Net of $946,996.
- Annual Receivables - Net has a three-year compound annual growth rate of 966.8% (FY2022 to FY2025).
- Across earlier years, Receivables - Net came in at $67,309 in FY2024 (+18.2%), $56,938 in FY2023 and $780.00 in FY2022.
- The Q2 2026 figure is the highest quarterly Receivables - Net in data going back to Q2 2022.
- On a year-over-year basis, Receivables - Net rose in four of the last five quarters, with growth averaging 100.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 178.06 Bn | 172.88 Bn | 6.42 Bn |
| 2 | Starbucks | 115.86 Bn | 103.49 Bn | - |
| 3 | Yum Brands | 42.10 Bn | 38.99 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.90 Bn | 31.88 Bn | - |
| 5 | Restaurant Brands International | 26.31 Bn | 21.87 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.50 Bn | 23.60 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.05 Bn | 10.39 Bn | - |
| 10 | Reborn Coffee | 14.46 Mn | 11.43 Mn | 1.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Mn |
| Dec 31, 2025 | 946,996.00 |
| Sep 30, 2025 | 147,459.00 |
| Jun 30, 2025 | 68,109.00 |
| Mar 31, 2025 | 69,291.00 |
| Dec 31, 2024 | 67,309.00 |
| Sep 30, 2024 | 76,809.00 |
| Jun 30, 2024 | 67,225.00 |
| Mar 31, 2024 | 192,724.00 |
| Dec 31, 2023 | 56,938.00 |
| Sep 30, 2023 | 13,813.00 |
| Jun 30, 2023 | 2,285.00 |
| Mar 31, 2023 | 3,699.00 |
| Dec 31, 2022 | 780.00 |
| Sep 30, 2022 | 350.00 |
| Jun 30, 2022 | 1,293.00 |
API Access
Reborn Coffee Receivables - Net 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=receivables-net&ticker=REBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();