Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) Growth (1y) (2010 - 2026)
Powered by 
Analysis
Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.72% |
| Mar 31, 2026 | -212.09% |
| Dec 31, 2025 | 130.60% |
| Sep 30, 2025 | -36.57% |
| Jun 30, 2025 | -73.00% |
| Mar 31, 2025 | 127.61% |
| Dec 31, 2024 | -160.85% |
| Sep 30, 2024 | 56.10% |
| Jun 30, 2024 | 163.18% |
| Mar 31, 2024 | -42.68% |
| Dec 31, 2023 | 132.91% |
| Sep 30, 2023 | -41.81% |
| Jun 30, 2023 | 124.74% |
| Mar 31, 2023 | -159.06% |
| Dec 31, 2022 | -681.24% |
| Sep 30, 2022 | -65.52% |
| Jun 30, 2022 | -172.14% |
| Mar 31, 2022 | -20.96% |
| Dec 31, 2021 | -38.38% |
| Sep 30, 2021 | 24.85% |
API Access
Whirlpool Corp /De/ EPS (Diluted) Growth (1y) 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=eps-diluted-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted-growth-1y", "ticker": "WHR-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted-growth-1y&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();