SolarWindow Technologies (WNDW) Exchange Rate Effect (2020 - 2023)
SolarWindow Technologies (WNDW) recorded Exchange Rate Effect of -$1.00 in FY2024 (year ended Aug 31, 2024), compared with -$505.00 in FY2023.
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Analysis
SolarWindow Technologies (WNDW) Exchange Rate Effect (2020 - 2023) Analysis & Trends
Starting with FY2021, SolarWindow Technologies' Exchange Rate Effect history includes 4 fiscal years.
- Per Business Quant data, WNDW's Exchange Rate Effect was -$505.00 in FY2023, -$51,831 in FY2022 and -$15,522 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 238.25 Bn | 198.17 Bn | 2.36 Bn | -30.00 Mn |
| 2 | Bloom Energy | 64.00 Bn | 55.79 Bn | 355.57 Mn | -2.88 Mn |
| 3 | First Solar | 18.75 Bn | 9.70 Bn | 605.00 Mn | 5.86 Mn |
| 4 | BWX Technologies | 12.32 Bn | 10.62 Bn | 202.31 Mn | -165,000.00 |
| 5 | Nextpower | 11.91 Bn | 7.80 Bn | 335.85 Mn | - |
| 6 | Generac Holdings | 11.42 Bn | 10.25 Bn | 521.81 Mn | -331,000.00 |
| 7 | EnerSys | 6.22 Bn | 4.41 Bn | 313.36 Mn | -2.05 Mn |
| 8 | Enphase Energy | 4.25 Bn | -607.94 Mn | 175.01 Mn | -620,000.00 |
| 9 | Mirion Technologies | 3.72 Bn | 1.56 Bn | 133.10 Mn | -1.80 Mn |
| 10 | SolarWindow Technologies | 105.25 Mn | 100.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2023 | -5.00 |
| Nov 30, 2022 | -500.00 |
| Aug 31, 2022 | -37,304.00 |
| May 31, 2022 | -3,599.00 |
| Feb 28, 2022 | -7,007.00 |
| Nov 30, 2021 | -3,921.00 |
| Aug 31, 2021 | -16,409.00 |
| May 31, 2021 | 8,109.00 |
| Feb 28, 2021 | -10,088.00 |
| Nov 30, 2020 | 2,866.00 |
API Access
SolarWindow Technologies 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=WNDW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WNDW", "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=WNDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();