Beeline Holdings (BLNE) Non-Current Debt (2014 - 2024)
Beeline Holdings' Non-Current Debt was -$5.44 million in FY2025, compared with -$325,000 in FY2024.
Analysis
Beeline Holdings (BLNE) Non-Current Debt (2014 - 2024) Analysis & Trends
- Per Business Quant data, Non-Current Debt in earlier years was -$325,000 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.84 Bn | 388.31 Bn | 8.42 Bn | 37.00 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.29 Bn | 198.29 Bn | 2.06 Bn | - |
| 3 | Pepsico | 182.79 Bn | 140.55 Bn | 13.75 Bn | 42.66 Bn |
| 4 | Monster Beverage | 92.06 Bn | 80.31 Bn | 1.42 Bn | - |
| 5 | Diageo | 51.95 Bn | 32.02 Bn | - | 20.01 Bn |
| 6 | Ambev | 51.85 Bn | 37.14 Bn | 2.06 Bn | 897.95 Mn |
| 7 | Coca-Cola Europacific Partners | 51.70 Bn | 44.37 Bn | - | 12.01 Bn |
| 8 | Keurig Dr Pepper | 47.08 Bn | 43.13 Bn | 3.07 Bn | 21.59 Bn |
| 9 | Constellation Brands | 22.57 Bn | 22.12 Bn | 1.39 Bn | 9.10 Bn |
| 10 | Beeline Holdings | 21.12 Mn | 13.45 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 3.60 Mn |
| Sep 30, 2024 | 8.16 Mn |
| Jun 30, 2024 | 8.12 Mn |
| Mar 31, 2024 | 8.08 Mn |
| Dec 31, 2023 | 18.64 Mn |
| Sep 30, 2023 | 18.48 Mn |
| Jun 30, 2023 | 7.75 Mn |
| Mar 31, 2023 | 7.75 Mn |
| Dec 31, 2022 | 7.75 Mn |
| Sep 30, 2022 | 7.97 Mn |
| Jun 30, 2022 | 8.68 Mn |
| Mar 31, 2022 | 8.76 Mn |
| Dec 31, 2021 | 8.97 Mn |
| Sep 30, 2021 | 6.96 Mn |
| Jun 30, 2021 | 6.96 Mn |
| Mar 31, 2021 | 4.39 Mn |
| Dec 31, 2020 | 7.22 Mn |
| Sep 30, 2020 | 6.71 Mn |
| Jun 30, 2020 | 7.51 Mn |
| Mar 31, 2020 | 14.03 Mn |
API Access
Beeline Holdings Non-Current Debt 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=non-current-debt&ticker=BLNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();