Reborn Coffee (REBN) Selling, General & Administrative (2017 - 2026)
Reborn Coffee (REBN) reported Selling, General & Administrative of $2.39 million for Q2 2026, down 2.9% from $2.46 million a year earlier.
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Analysis
Reborn Coffee (REBN) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Reborn Coffee's Selling, General & Administrative came in at $8.32 million, up 3.3% year-over-year; for FY2025, it came in at $7.75 million, up 13.0% from FY2024.
- Selling, General & Administrative has a four-year compound annual growth rate of 18.1% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $6.86 million in FY2024 (-15.9%), $8.16 million in FY2023 (+44.1%), $5.66 million in FY2022 (+42.0%) and $3.99 million in FY2021.
- Five-year quarterly Selling, General & Administrative spans a low of $1.04 million in Q1 2022 and a high of $2.48 million in Q4 2023.
- Year over year, Selling, General & Administrative gained in three of the last seven quarters, with growth averaging 3.9%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2022 (growth of 118.3%); the low point was Q4 2025 (a decline of 30.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 72.41 Mn |
| 10 | Reborn Coffee | 18.79 Mn | 16.13 Mn | 1.69 Mn | 2.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 2.23 Mn |
| Jun 30, 2025 | 2.46 Mn |
| Mar 31, 2025 | 2.47 Mn |
| Dec 31, 2024 | 1.78 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 1.98 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Sep 30, 2023 | 1.79 Mn |
| Jun 30, 2023 | 2.19 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 1.71 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 1.31 Mn |
| Sep 30, 2021 | 1.45 Mn |
| Jun 30, 2021 | 656,310.00 |
API Access
Reborn Coffee Selling, General & Administrative 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=selling-general-and-administrative&ticker=REBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();