Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) (QoQ) (2009 - 2026)
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Analysis
Whirlpool Corp /De/ (WHR-PA) EPS (Diluted) (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.66% |
| Mar 31, 2026 | -181.79% |
| Dec 31, 2025 | 13.24% |
| Sep 30, 2025 | 32.90% |
| Jun 30, 2025 | -8.94% |
| Mar 31, 2025 | 122.33% |
| Dec 31, 2024 | -334.75% |
| Sep 30, 2024 | -43.43% |
| Jun 30, 2024 | 193.11% |
| Mar 31, 2024 | -149.20% |
| Dec 31, 2023 | 502.25% |
| Sep 30, 2023 | -4.62% |
| Jun 30, 2023 | 150.48% |
| Mar 31, 2023 | 88.65% |
| Dec 31, 2022 | -1,164.89% |
| Sep 30, 2022 | 140.56% |
| Jun 30, 2022 | -220.50% |
| Mar 31, 2022 | 11.68% |
| Dec 31, 2021 | -36.83% |
| Sep 30, 2021 | -15.14% |
API Access
Whirlpool Corp /De/ EPS (Diluted) (QoQ) 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-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted-qoq", "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-qoq&ticker=WHR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();