Beeline Holdings (BLNE) Depreciation & Amortization - Total (2024 - 2026)
Beeline Holdings' Depreciation & Amortization - Total was -$13.71 million in Q2 2026, compared with -$37.33 million a year earlier.
Beeline Holdings (BLNE) Depreciation & Amortization - Total (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Beeline Holdings' Depreciation & Amortization - Total was $15,759 through Jun 30, 2026, down 92.1% year-over-year; for FY2025, it was $100,000, unchanged from FY2024.
- In earlier years, Depreciation & Amortization - Total was $100,000 in FY2024 (+8.7%) and $92,000 in FY2023.
- Quarterly Depreciation & Amortization - Total has moved between -$37.33 million (Q2 2025) and $37.43 million (Q1 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | - |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn | 3.55 Bn |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn | - |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | - |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | - |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | - |
| 10 | Beeline Holdings | 20.95 Mn | 13.28 Mn | - | -13.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.71 Mn |
| Mar 31, 2026 | 13.73 Mn |
| Jun 30, 2025 | -37.33 Mn |
| Mar 31, 2025 | 37.43 Mn |
| Dec 31, 2024 | 100,000.00 |
| Jun 30, 2024 | -22.65 Mn |
| Mar 31, 2024 | 22.65 Mn |
Beeline Holdings Depreciation & Amortization - Total 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-amortization-total&ticker=BLNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "BLNE", "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-amortization-total&ticker=BLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();