CEA Industries (BNC) Price to Book (2017 - 2026)
CEA Industries' Price to Book was 0.49 in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 85.3% from 3.30 a year earlier but up 11.9% from the prior quarter.
CEA Industries (BNC) Price to Book (2017 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Price to Book at CEA Industries came in at 0.43, down 64.4% from FY2025.
- In earlier fiscal years, Price to Book was 1.22 in FY2025, 0.70 in FY2024 (+94.5%), 0.36 in FY2023 (-19.7%) and 0.45 in FY2022.
- Quarterly Price to Book has moved between 0.43 (fiscal Q4 2026) and 3.30 (fiscal Q1 2026) over five years.
- Per Business Quant data, BNC's Price to Book in the three fiscal quarters before Q1 2027 was 0.43 (Q4 2026), 0.60 (Q3 2026) and 0.69 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | CEA Industries | 311.67 Mn | 257.66 Mn | 1.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.49 |
| Apr 30, 2026 | 0.43 |
| Jan 31, 2026 | 0.60 |
| Oct 31, 2025 | 0.69 |
| Jul 31, 2025 | 3.30 |
| Mar 31, 2025 | 0.87 |
| Dec 31, 2024 | 0.70 |
| Sep 30, 2024 | 0.55 |
| Jun 30, 2024 | 0.49 |
| Mar 31, 2024 | 0.42 |
| Dec 31, 2023 | 0.36 |
| Sep 30, 2023 | 0.46 |
| Jun 30, 2023 | 0.43 |
| Mar 31, 2023 | 0.48 |
| Dec 31, 2022 | 0.45 |
| Sep 30, 2022 | 0.52 |
| Jun 30, 2022 | 0.59 |
| Mar 31, 2022 | 0.62 |
| Sep 30, 2019 | 8,461.25 |
| Dec 31, 2018 | 12,850.36 |
CEA Industries 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=BNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "BNC", "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=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();