OpenWorld (OPNW) Exchange Rate Effect (2023 - 2024)
OpenWorld (OPNW) posted Exchange Rate Effect of $44,000 for Q4 2024, compared with $3,000 a year earlier and up 528.6% from the prior quarter.
Analysis
OpenWorld (OPNW) Exchange Rate Effect (2023 - 2024) Analysis & Trends
For FY2024, OpenWorld's Exchange Rate Effect came in at $48,000.
- In prior years, OpenWorld's Exchange Rate Effect was $1,000 in FY2023.
- The Q4 2024 figure stands as the highest quarterly Exchange Rate Effect in data going back to Q1 2023.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $7,000 (Q3 2024), -$2,000 (Q2 2024) and -$1,000 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.83 Bn | 165.35 Bn | - | - |
| 2 | Csx | 89.36 Bn | 85.57 Bn | - | - |
| 3 | United Parcel Service | 84.24 Bn | 61.13 Bn | - | -13.00 Mn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 17.35 Mn |
| 5 | Norfolk Southern | 73.22 Bn | 67.86 Bn | - | - |
| 6 | Fedex | 71.36 Bn | 37.30 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 50.14 Bn | 32.32 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.27 Bn | 38.53 Bn | - | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.54 Bn | - | - |
| 10 | OpenWorld | 2.65 Mn | 2.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 44,000.00 |
| Sep 30, 2024 | 7,000.00 |
| Jun 30, 2024 | -2,000.00 |
| Mar 31, 2024 | -1,000.00 |
| Dec 31, 2023 | 3,000.00 |
| Sep 30, 2023 | -1,000.00 |
| Jun 30, 2023 | 1,000.00 |
| Mar 31, 2023 | -2,000.00 |
API Access
OpenWorld 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=OPNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "OPNW", "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=OPNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();