1847 Holdings (LBRA) Short-Term Debt repayments (2018 - 2020)
1847 Holdings' Short-Term Debt repayments came in at $392,337 for Q1 2020, up 65.7% from $236,832 a year earlier.
1847 Holdings (LBRA) Short-Term Debt repayments (2018 - 2020) Analysis & Trends
Over the trailing twelve months to Mar 31, 2020, 1847 Holdings reported Short-Term Debt repayments of $254,024, up 579.8% year-over-year; for FY2019, it was $98,519, up 30.4% from FY2018.
- Going back by year, Short-Term Debt repayments was $75,534 in FY2018.
- The Q1 2020 figure represents the highest quarterly Short-Term Debt repayments since Q2 2018.
- Business Quant data shows LBRA's Short-Term Debt repayments at -$300,768 (Q4 2019), $311,258 (Q3 2019) and -$148,803 (Q2 2019) in the three quarters before Q1 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | - |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 158.00 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | - |
| 10 | 1847 Holdings | 463,584.98 | -2.97 Mn | 711,816.00 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 392,337.00 |
| Dec 31, 2019 | -300,768.00 |
| Sep 30, 2019 | 311,258.00 |
| Jun 30, 2019 | -148,803.00 |
| Mar 31, 2019 | 236,832.00 |
| Dec 31, 2018 | -18,233.00 |
| Sep 30, 2018 | -581,233.00 |
| Jun 30, 2018 | 400,000.00 |
| Mar 31, 2018 | 275,000.00 |
1847 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=LBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "LBRA", "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=LBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();