Beeline Holdings (BLNE) Exchange Rate Effect (2025 - 2026)
Beeline Holdings' Exchange Rate Effect was -$1,000 in Q2 2026, compared with $37,000 a year earlier.
Powered by 
Analysis
Beeline Holdings (BLNE) Exchange Rate Effect (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Beeline Holdings' Exchange Rate Effect was -$62,000 through Jun 30, 2026; for FY2025, it came in at -$14,000.
- In earlier years, Exchange Rate Effect was -$34,000 in FY2024.
- Quarterly Exchange Rate Effect has moved between -$67,000 (Q3 2025) and $37,000 (Q2 2025) over five years.
- Per Business Quant data, BLNE's Exchange Rate Effect in the three quarters before Q2 2026 was $7,000 (Q1 2026), -$1,000 (Q4 2025) and -$67,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 401.58 Bn | 388.05 Bn | 8.42 Bn | -1.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 202.62 Bn | 202.62 Bn | 2.06 Bn | - |
| 3 | Pepsico | 182.97 Bn | 140.74 Bn | 13.75 Bn | -431.00 Mn |
| 4 | Monster Beverage | 91.82 Bn | 80.07 Bn | 1.42 Bn | -7.28 Mn |
| 5 | Diageo | 52.05 Bn | 32.12 Bn | - | - |
| 6 | Ambev | 51.93 Bn | 37.22 Bn | 2.06 Bn | -152.65 Mn |
| 7 | Coca-Cola Europacific Partners | 51.43 Bn | 44.10 Bn | - | - |
| 8 | Keurig Dr Pepper | 47.19 Bn | 43.23 Bn | 3.07 Bn | -164.00 Mn |
| 9 | Constellation Brands | 22.53 Bn | 22.08 Bn | 1.39 Bn | -200,000.00 |
| 10 | Beeline Holdings | 20.42 Mn | 12.75 Mn | - | -1,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,000.00 |
| Mar 31, 2026 | 7,000.00 |
| Dec 31, 2025 | -1,000.00 |
| Sep 30, 2025 | -67,000.00 |
| Jun 30, 2025 | 37,000.00 |
| Mar 31, 2025 | 17,000.00 |
API Access
Beeline Holdings 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=BLNE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "BLNE", "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=BLNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();