Beeline Holdings (BLNE) Total Non-Current Liabilities (2024 - 2025)
Beeline Holdings' Total Non-Current Liabilities was $16.55 million in Q4 2025, down 5.4% from $17.5 million a year earlier but up 45.3% from the prior quarter.
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Analysis
Beeline Holdings (BLNE) Total Non-Current Liabilities (2024 - 2025) Analysis & Trends
From Q4 2024 onward, Beeline Holdings has reported Total Non-Current Liabilities for 5 quarters.
- In earlier years, Total Non-Current Liabilities was $17.5 million in FY2024.
- Quarterly Total Non-Current Liabilities has moved between $11.39 million (Q3 2025) and $17.5 million (Q4 2024) over five years.
- Per Business Quant data, BLNE's Total Non-Current Liabilities in the three quarters before Q4 2025 was $11.39 million (Q3 2025), $12.99 million (Q2 2025) and $15.62 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 373.72 Bn | 362.36 Bn | 8.42 Bn | 64.98 Bn |
| 2 | Diageo | 207.56 Bn | 199.96 Bn | - | -23.16 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 182.40 Bn | 182.40 Bn | 2.06 Bn | - |
| 4 | Pepsico | 175.65 Bn | 136.08 Bn | 13.11 Bn | 81.77 Bn |
| 5 | Anheuser-Busch InBev | 133.55 Bn | 102.29 Bn | 9.58 Bn | 391.00 Mn |
| 6 | Monster Beverage | 81.77 Bn | 70.02 Bn | 1.42 Bn | 1.87 Bn |
| 7 | Coca-Cola Europacific Partners | 45.94 Bn | 39.18 Bn | - | 16.28 Bn |
| 8 | Ambev | 45.55 Bn | 31.57 Bn | 2.06 Bn | 1.92 Bn |
| 9 | Keurig Dr Pepper | 42.22 Bn | 42.46 Bn | 3.07 Bn | 384.00 Mn |
| 10 | Beeline Holdings | 12.31 Mn | 4.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 16.55 Mn |
| Sep 30, 2025 | 11.39 Mn |
| Jun 30, 2025 | 12.99 Mn |
| Mar 31, 2025 | 15.62 Mn |
| Dec 31, 2024 | 17.50 Mn |
API Access
Beeline Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();