1847 Holdings (LBRA) Revenue (2014 - 2026)
1847 Holdings (LBRA) recorded Revenue of $1.57 million in Q2 2026, down 12.5% from $1.79 million a year earlier but up 34.1% from the prior quarter.
1847 Holdings (LBRA) Revenue (2014 - 2026) Analysis & Trends
On a TTM basis, 1847 Holdings' Revenue came in at $28.12 million as of Jun 30, 2026, up 81.1% year-over-year; for FY2025, it came in at $48.27 million, up 207.3% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $15.71 million in FY2024 (+10.7%), $14.19 million in FY2023 (-71.0%), $48.93 million in FY2022 (+59.6%) and $30.66 million in FY2021 (-37.9%).
- Quarterly Revenue has ranged from $1.17 million in Q1 2026 to $17.36 million in Q2 2023 over the past five years.
- On a year-over-year basis, Revenue rose in four of the last eight quarters, with growth averaging 51.9%.
- Peak year-over-year performance for Revenue in the last five years was growth of 256.4% in Q3 2025, against a decline of 84.6% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.17 million (Q1 2026), $11.82 million (Q4 2025) and $13.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 1.15 Bn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 1.57 Bn |
| 10 | 1847 Holdings | 463,584.98 | -2.97 Mn | 711,816.00 | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Mn |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | 11.82 Mn |
| Sep 30, 2025 | 13.56 Mn |
| Jun 30, 2025 | 1.79 Mn |
| Mar 31, 2025 | 2.77 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 3.81 Mn |
| Jun 30, 2024 | 2.67 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 4.68 Mn |
| Jun 30, 2023 | 17.36 Mn |
| Mar 31, 2023 | 12.97 Mn |
| Dec 31, 2022 | 9.49 Mn |
| Sep 30, 2022 | 14.47 Mn |
| Jun 30, 2022 | 12.89 Mn |
| Mar 31, 2022 | 12.07 Mn |
| Dec 31, 2021 | 12.50 Mn |
| Sep 30, 2021 | 6.74 Mn |
1847 Holdings Revenue 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=revenue&ticker=LBRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();