CEA Industries (BNC) Exchange Rate Effect (2012 - 2026)
CEA Industries' Exchange Rate Effect was -$63,000 in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with $32,000 a year earlier.
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Analysis
CEA Industries (BNC) Exchange Rate Effect (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, CEA Industries' Exchange Rate Effect was $34,000 through Jul 31, 2026, up 12.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $129,000.
- In earlier fiscal years, Exchange Rate Effect was -$2,000 in FY2025.
- Per Business Quant data, BNC's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was $116,924 (Q4 2026), -$58,119 (Q3 2026) and $38,195 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | -3.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 7.00 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | -4.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | -18.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | -57.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 61.40 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 32.20 Mn |
| 10 | CEA Industries | 297.91 Mn | 243.91 Mn | 1.96 Mn | -63,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -63,000.00 |
| Apr 30, 2026 | 116,924.00 |
| Jan 31, 2026 | -58,119.00 |
| Oct 31, 2025 | 38,195.00 |
| Jul 31, 2025 | 32,000.00 |
| Dec 31, 2013 | 8,956.00 |
| Sep 30, 2013 | -10,665.00 |
| Jun 30, 2013 | -2,104.00 |
| Mar 31, 2013 | -3,133.00 |
| Sep 30, 2012 | -1,374.00 |
| Jun 30, 2012 | 2,360.00 |
| Mar 31, 2012 | -50.00 |
API Access
CEA Industries Exchange Rate Effect 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=exchange-rate-effect&ticker=BNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();