1847 Holdings (LBRA) Interest Expenses (2017 - 2026)
1847 Holdings' Interest Expenses was $1.62 million in Q2 2026, up 52.7% from $1.06 million a year earlier but down 3.2% from the prior quarter.
1847 Holdings (LBRA) Interest Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, 1847 Holdings' Interest Expenses was $8.15 million through Jun 30, 2026, up 75.2% year-over-year; for FY2025, it came in at $7.04 million, up 65.1% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 48.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $4.26 million in FY2024 (-7.9%), $4.63 million in FY2023 (+0.7%), $4.59 million in FY2022 (+254.4%) and $1.3 million in FY2021 (+31.5%).
- Quarterly Interest Expenses has moved between $128,199 (Q3 2021) and $3.77 million (Q4 2025) over five years.
- Compared with a year earlier, Interest Expenses has increased for three straight quarters, with growth averaging 46.5% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2022 (growth of 582.8%); the worst was Q3 2024 (a decline of 47.7%).
- Per Business Quant data, LBRA's Interest Expenses in the three quarters before Q2 2026 was $1.67 million (Q1 2026), $3.77 million (Q4 2025) and $1.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 53.10 Mn |
| 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 | 1.44 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 | 61.50 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 27.40 Mn |
| 10 | 1847 Holdings | 463,584.98 | -2.97 Mn | 711,816.00 | 1.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.62 Mn |
| Mar 31, 2026 | 1.67 Mn |
| Dec 31, 2025 | 3.77 Mn |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 1.25 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 898,747.00 |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 654,411.00 |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 1.38 Mn |
| Dec 31, 2022 | 880,117.00 |
| Sep 30, 2022 | 1.88 Mn |
| Jun 30, 2022 | 932,123.00 |
| Mar 31, 2022 | 906,743.00 |
| Dec 31, 2021 | 986,705.00 |
| Sep 30, 2021 | 128,199.00 |
1847 Holdings Interest Expenses 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=interest-expenses&ticker=LBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=LBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();