Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 |
| Mar 31, 2026 | -1.43 |
| Dec 31, 2025 | 1.74 |
| Sep 30, 2025 | 1.54 |
| Jun 30, 2025 | 1.16 |
| Mar 31, 2025 | 1.27 |
| Dec 31, 2024 | -5.70 |
| Sep 30, 2024 | 2.43 |
| Jun 30, 2024 | 4.29 |
| Mar 31, 2024 | -4.61 |
| Dec 31, 2023 | 9.37 |
| Sep 30, 2023 | 1.56 |
| Jun 30, 2023 | 1.63 |
| Mar 31, 2023 | -3.23 |
| Dec 31, 2022 | -28.46 |
| Sep 30, 2022 | 2.67 |
| Jun 30, 2022 | -6.59 |
| Mar 31, 2022 | 5.47 |
| Dec 31, 2021 | 4.90 |
| Sep 30, 2021 | 7.75 |
API Access
Whirlpool Corp /De/ EPS (Diluted) 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&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();