Koninklijke Philips (PHG) Dividend Yield (2016 - 2019)
Koninklijke Philips' Dividend Yield came in at 1.43% for FY2025, up 1.28 percentage points from 0.15% in FY2024.
Analysis
Koninklijke Philips (PHG) Dividend Yield (2016 - 2019) Analysis & Trends
Going back to FY2015, Koninklijke Philips' Dividend Yield data covers 11 years.
- Dividend Yield carries a five-year change of +1.37 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Dividend Yield since FY2022.
- Per Business Quant, earlier years put Dividend Yield at 0.15% in FY2024 (-0.21 pp), 0.36% in FY2023 (-2.98 pp), 3.33% in FY2022 (+1.55 pp) and 1.79% in FY2021 (+1.73 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 255.89 Bn | 234.92 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.18 Bn | 149.61 Bn | 7.27 Bn |
| 3 | Danaher | 158.82 Bn | 142.63 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.80 Bn | 135.22 Bn | 1.96 Bn |
| 5 | Medtronic | 121.04 Bn | 86.29 Bn | 6.34 Bn |
| 6 | Stryker | 116.88 Bn | 103.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.78 Bn | 61.55 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.14 Bn | 50.29 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.73 Bn | 34.74 Bn | 1.35 Bn |
| 10 | Koninklijke Philips | 24.66 Bn | 13.78 Bn | 4.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 3.22% |
| Sep 30, 2019 | 0.81% |
| Jun 30, 2019 | 0.02% |
| Dec 31, 2018 | 4.18% |
| Sep 30, 2018 | 0.88% |
| Jun 30, 2018 | 0.18% |
| Dec 31, 2017 | 1.20% |
| Sep 30, 2017 | 2.11% |
| Jun 30, 2017 | 2.37% |
| Sep 30, 2016 | 2.59% |
API Access
Koninklijke Philips Dividend Yield 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=dividend-yield&ticker=PHG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "ticker": "PHG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividend-yield&ticker=PHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();