Beeline Holdings (BLNE) Liabilities from Discontinued Operations (2019 - 2025)
Beeline Holdings (BLNE) posted Liabilities from Discontinued Operations of $67,000 for Q2 2025.
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Analysis
Beeline Holdings (BLNE) Liabilities from Discontinued Operations (2019 - 2025) Analysis & Trends
At the end of FY2024, Beeline Holdings' Liabilities from Discontinued Operations came in at $163,000, down 88.1% from FY2023.
- Annual Liabilities from Discontinued Operations shows a five-year compound annual growth rate of 7.6% (FY2019 to FY2024).
- In prior years, Beeline Holdings' Liabilities from Discontinued Operations was $1.37 million in FY2023 and $71,000 in FY2020 (-37.2%).
- The Q2 2025 figure stands as the lowest quarterly Liabilities from Discontinued Operations since Q3 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 370.54 Bn | 359.17 Bn | 8.42 Bn |
| 2 | Diageo | 205.37 Bn | 197.77 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 177.39 Bn | 177.39 Bn | 2.06 Bn |
| 4 | Pepsico | 171.43 Bn | 131.87 Bn | 13.11 Bn |
| 5 | Anheuser-Busch InBev | 131.23 Bn | 99.97 Bn | 9.58 Bn |
| 6 | Monster Beverage | 82.55 Bn | 70.80 Bn | 1.42 Bn |
| 7 | Ambev | 45.71 Bn | 31.73 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.26 Bn | 38.51 Bn | - |
| 9 | Keurig Dr Pepper | 41.76 Bn | 42.00 Bn | 3.07 Bn |
| 10 | Beeline Holdings | 12.02 Mn | 4.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 67,000.00 |
| Dec 31, 2024 | 163,000.00 |
| Sep 30, 2024 | 843,000.00 |
| Dec 31, 2023 | 1.37 Mn |
| Sep 30, 2021 | 46,000.00 |
| Jun 30, 2021 | 54,000.00 |
| Mar 31, 2021 | 63,000.00 |
| Dec 31, 2020 | 71,000.00 |
| Sep 30, 2020 | 78,658.00 |
| Jun 30, 2020 | 86,397.00 |
| Mar 31, 2020 | 96,535.00 |
| Dec 31, 2019 | 113,000.00 |
API Access
Beeline Holdings Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=BLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=BLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();