Windtree Therapeutics Inc /De/ (WINT) Accumulated Expenses (2010 - 2025)
Windtree Therapeutics' Accumulated Expenses was $2.01 million in Q3 2025, up 21.6% from $1.65 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Windtree Therapeutics Inc /De/ (WINT) Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2024, Accumulated Expenses at Windtree Therapeutics came in at $1.71 million, up 5.4% from FY2023.
- Accumulated Expenses shows a five-year compound annual growth rate of -12.0% (FY2019 to FY2024).
- In earlier years, Accumulated Expenses was $1.62 million in FY2023 (+4.3%), $1.55 million in FY2022 (-54.5%), $3.41 million in FY2021 (-10.6%) and $3.81 million in FY2020 (+18.2%).
- The Q3 2025 figure marks the highest quarterly Accumulated Expenses since Q2 2024.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 6.3%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2024 (growth of 31.1%); the worst was Q4 2022 (a decline of 54.5%).
- Per Business Quant data, WINT's Accumulated Expenses in the three quarters before Q3 2025 was $1.96 million (Q2 2025), $1.79 million (Q1 2025) and $1.71 million (Q4 2024).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.01 Mn |
| Jun 30, 2025 | 1.96 Mn |
| Mar 31, 2025 | 1.79 Mn |
| Dec 31, 2024 | 1.71 Mn |
| Sep 30, 2024 | 1.65 Mn |
| Jun 30, 2024 | 2.13 Mn |
| Mar 31, 2024 | 2.13 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 1.62 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 2.82 Mn |
| Mar 31, 2022 | 3.55 Mn |
| Dec 31, 2021 | 3.41 Mn |
| Sep 30, 2021 | 3.55 Mn |
| Jun 30, 2021 | 3.11 Mn |
| Mar 31, 2021 | 3.74 Mn |
| Dec 31, 2020 | 3.81 Mn |
API Access
Windtree Therapeutics Inc /De/ Accumulated 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=accumulated-expenses&ticker=WINT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "WINT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=WINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();