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 | 370.32 Bn | 358.96 Bn | 8.42 Bn | - |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | 197.17 Mn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | - |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | - |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | - |
| 10 | Beeline Holdings | 11.88 Mn | 4.21 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();