Global Warming Solutions, Inc. (GWSO) Operating Expenses (2020 - 2024)
Global Warming Solutions' Operating Expenses came in at $32,548 for Q3 2024, down 72.7% from $119,172 a year earlier and down 55.4% from the prior quarter.
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Analysis
Global Warming Solutions, Inc. (GWSO) Operating Expenses (2020 - 2024) Analysis & Trends
Over the trailing twelve months to Sep 30, 2024, Global Warming Solutions reported Operating Expenses of $110,767, down 87.1% year-over-year; for FY2023, it came in at $427,884, down 65.4% from FY2022.
- Operating Expenses carries a four-year compound annual growth rate of 177.0% (FY2019 to FY2023).
- Going back by year, Operating Expenses was $1.24 million in FY2022 (+155.8%), $483,335 in FY2021 (-46.1%), $896,541 in FY2020 and $7,268 in FY2019.
- The five-year range for quarterly Operating Expenses is -$65,360 (Q4 2023) to $850,866 (Q4 2020).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 17.0% over the last seven quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2021 (growth of 835.5%), and the weakest in Q4 2021 (a decline of 85.2%).
- Business Quant data shows GWSO's Operating Expenses at $73,022 (Q2 2024), $70,557 (Q1 2024) and -$65,360 (Q4 2023) in the three quarters before Q3 2024.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 32,548.00 |
| Jun 30, 2024 | 73,022.00 |
| Mar 31, 2024 | 70,557.00 |
| Dec 31, 2023 | -65,360.00 |
| Sep 30, 2023 | 119,172.00 |
| Jun 30, 2023 | 113,220.00 |
| Mar 31, 2023 | 260,853.00 |
| Dec 31, 2022 | 362,876.00 |
| Sep 30, 2022 | 339,515.00 |
| Jun 30, 2022 | 254,731.00 |
| Mar 31, 2022 | 279,181.00 |
| Dec 31, 2021 | 125,625.00 |
| Sep 30, 2021 | 152,804.00 |
| Jun 30, 2021 | 153,724.00 |
| Mar 31, 2021 | 51,182.00 |
| Dec 31, 2020 | 850,866.00 |
| Sep 30, 2020 | 20,523.00 |
| Jun 30, 2020 | 16,432.00 |
| Mar 31, 2020 | 8,720.00 |
API Access
Global Warming Solutions, Inc. Operating Expenses 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=operating-expenses&ticker=GWSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GWSO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GWSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();