1847 Holdings (LBRA) Total Liabilities (2013 - 2026)
1847 Holdings (LBRA) reported Total Liabilities of $71.87 million for Q2 2026, down 33.4% from $107.95 million a year earlier but up 8.6% from the prior quarter.
1847 Holdings (LBRA) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, 1847 Holdings posted Total Liabilities of $63.55 million, down 51.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $130.11 million in FY2024 (+119.0%), $59.41 million in FY2023 (+39.5%), $42.59 million in FY2022 (-9.6%) and $47.1 million in FY2021 (+148.4%).
- Five-year quarterly Total Liabilities spans a low of $19.43 million in Q3 2021 and a high of $130.11 million in Q4 2024.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with growth averaging 25.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 152.5%); the low point was Q3 2021 (a decline of 59.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $66.16 million (Q1 2026), $63.55 million (Q4 2025) and $76.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 3.24 Bn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 4.62 Bn |
| 10 | 1847 Holdings | 463,584.98 | -2.97 Mn | 711,816.00 | 71.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.87 Mn |
| Mar 31, 2026 | 66.16 Mn |
| Dec 31, 2025 | 63.55 Mn |
| Sep 30, 2025 | 76.71 Mn |
| Jun 30, 2025 | 107.95 Mn |
| Mar 31, 2025 | 127.87 Mn |
| Dec 31, 2024 | 130.11 Mn |
| Sep 30, 2024 | 43.17 Mn |
| Jun 30, 2024 | 64.95 Mn |
| Mar 31, 2024 | 64.15 Mn |
| Dec 31, 2023 | 59.41 Mn |
| Sep 30, 2023 | 58.21 Mn |
| Jun 30, 2023 | 57.01 Mn |
| Mar 31, 2023 | 53.76 Mn |
| Dec 31, 2022 | 42.59 Mn |
| Sep 30, 2022 | 39.57 Mn |
| Jun 30, 2022 | 48.92 Mn |
| Mar 31, 2022 | 48.76 Mn |
| Dec 31, 2021 | 47.10 Mn |
| Sep 30, 2021 | 19.43 Mn |
1847 Holdings Total 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-liabilities&ticker=LBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();