Beeline Holdings (BLNE) Short-Term Debt repayments (2020 - 2025)
Beeline Holdings (BLNE) reported Short-Term Debt repayments of -$645,000 for Q2 2025.
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Analysis
Beeline Holdings (BLNE) Short-Term Debt repayments (2020 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Beeline Holdings' Short-Term Debt repayments came in at $784,000; for FY2023, it was $40,000, down 98.6% from FY2022.
- Short-Term Debt repayments has a three-year compound annual growth rate of -76.3% (FY2020 to FY2023).
- By year, Short-Term Debt repayments came in at $2.84 million in FY2022 (-23.9%), $3.73 million in FY2021 (+24.3%) and $3 million in FY2020.
- The Q2 2025 figure ranks as the lowest quarterly Short-Term Debt repayments in data going back to Q1 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 399.08 Bn | 385.55 Bn | 8.42 Bn | - |
| 2 | Coca Cola Femsa Sab De Cv | 198.07 Bn | 198.07 Bn | 2.06 Bn | - |
| 3 | Pepsico | 183.70 Bn | 141.47 Bn | 13.75 Bn | 2.07 Bn |
| 4 | Monster Beverage | 91.30 Bn | 79.55 Bn | 1.42 Bn | - |
| 5 | Diageo | 51.63 Bn | 31.70 Bn | - | - |
| 6 | Ambev | 51.46 Bn | 36.75 Bn | 2.06 Bn | -7.86 Mn |
| 7 | Coca-Cola Europacific Partners | 50.42 Bn | 43.09 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.94 Bn | 42.98 Bn | 3.07 Bn | - |
| 9 | Constellation Brands | 22.50 Bn | 22.05 Bn | 1.39 Bn | - |
| 10 | Beeline Holdings | 22.14 Mn | 14.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -645,000.00 |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2022 | -95,000.00 |
| Sep 30, 2022 | -16,000.00 |
| Jun 30, 2022 | 2.01 Mn |
| Mar 31, 2022 | 940,000.00 |
| Dec 31, 2021 | 129,000.00 |
| Jun 30, 2021 | 163,000.00 |
| Mar 31, 2021 | 3.44 Mn |
| Mar 31, 2020 | 3.00 Mn |
API Access
Beeline Holdings Short-Term Debt repayments 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=short-term-debt-repayments&ticker=BLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=BLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();