Reborn Coffee (REBN) Depreciation and Depletion (2021 - 2025)
Reborn Coffee (REBN) posted Depreciation and Depletion of $233,585 for Q4 2025, up 13.2% from $206,263 a year earlier and up 229.0% from the prior quarter.
Reborn Coffee (REBN) Depreciation and Depletion (2021 - 2025) Analysis & Trends
For FY2025, Reborn Coffee's Depreciation and Depletion came in at $449,585, up 14.9% from FY2024.
- Annual Depreciation and Depletion has increased for four consecutive years, with a four-year compound annual growth rate of 26.7% (FY2021 to FY2025).
- In prior years, Reborn Coffee's Depreciation and Depletion was $391,263 in FY2024 (+49.3%), $262,019 in FY2023 (+24.4%), $210,616 in FY2022 (+20.6%) and $174,696 in FY2021.
- The Q4 2025 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q2 2021.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last three quarters, with growth averaging 67.9% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2025, with growth of 491.7%; the weakest was Q3 2024, with a decline of 78.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $71,000 (Q3 2025), $83,333 (Q2 2025) and $61,008 (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 361.60 Mn |
| 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
| Date | Value |
|---|---|
| Dec 31, 2025 | 233,585.00 |
| Sep 30, 2025 | 71,000.00 |
| Jun 30, 2025 | 83,333.00 |
| Mar 31, 2025 | 61,008.00 |
| Dec 31, 2024 | 206,263.00 |
| Sep 30, 2024 | 12,000.00 |
| Jun 30, 2024 | 63,330.00 |
| Mar 31, 2024 | 63,330.00 |
| Dec 31, 2023 | 126,621.00 |
| Sep 30, 2023 | 56,097.00 |
| Jun 30, 2023 | 56,097.00 |
| Mar 31, 2023 | 56,097.00 |
| Dec 31, 2022 | 64,111.00 |
| Sep 30, 2022 | 48,583.00 |
| Jun 30, 2022 | 49,443.00 |
| Mar 31, 2022 | 48,479.00 |
| Dec 31, 2021 | 45,121.00 |
| Sep 30, 2021 | 47,649.00 |
| Jun 30, 2021 | 36,129.00 |
Reborn Coffee Depreciation and Depletion 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=depreciation-and-depletion&ticker=REBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();