1847 Holdings (LBRA) Price to Book (2020 - 2023)
1847 Holdings' Price to Book came in at 603.67 for Q3 2023, down 94.6% from 11209.43 a year earlier and down 99.6% from the prior quarter.
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Analysis
1847 Holdings (LBRA) Price to Book (2020 - 2023) Analysis & Trends
For FY2022, 1847 Holdings' Price to Book was 28826.71.
- Going back by year, Price to Book was 1698349.83 in FY2020.
- The Q3 2023 figure represents the lowest quarterly Price to Book in data going back to Q3 2020.
- Business Quant data shows LBRA's Price to Book at 146749.95 (Q2 2023), 16826.37 (Q1 2023) and 28826.71 (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 603.67 |
| Jun 30, 2023 | 146,749.95 |
| Mar 31, 2023 | 16,826.37 |
| Dec 31, 2022 | 28,826.71 |
| Sep 30, 2022 | 11,209.43 |
| Sep 30, 2021 | 198,046.80 |
| Jun 30, 2021 | 207,109.91 |
| Mar 31, 2021 | 460,314.42 |
| Dec 31, 2020 | 1.70 Mn |
| Sep 30, 2020 | 1.82 Mn |
API Access
1847 Holdings Price to Book 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=price-to-book&ticker=LBRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=LBRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();