Koninklijke Philips (PHG) Total Non-Current Liabilities (2009 - 2026)
Koninklijke Philips' Total Non-Current Liabilities came in at $9.65 billion for Q3 2026, down 5.7% from $10.24 billion a year earlier but up 8.3% from the prior quarter.
Koninklijke Philips (PHG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Koninklijke Philips' Total Non-Current Liabilities was $9.92 billion, up 8.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $9.14 billion in FY2024 (-8.8%), $10.03 billion in FY2023 (-0.7%), $10.1 billion in FY2022 (-1.3%) and $10.23 billion in FY2021 (+3.0%).
- The five-year range for quarterly Total Non-Current Liabilities is $8.91 billion (Q2 2026) to $10.28 billion (Q2 2025).
- Year-over-year, Total Non-Current Liabilities increased in three of the last six quarters, with an average decline of 1.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2025 (growth of 9.2%), and the weakest in Q2 2026 (a decline of 13.3%).
- Business Quant data shows PHG's Total Non-Current Liabilities at $8.91 billion (Q2 2026), $9.65 billion (Q1 2026) and $9.92 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Koninklijke Philips | 28.76 Bn | 17.04 Bn | 6.85 Bn | 9.65 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.65 Bn |
| Jun 30, 2026 | 8.91 Bn |
| Mar 31, 2026 | 9.65 Bn |
| Dec 31, 2025 | 9.92 Bn |
| Sep 30, 2025 | 10.24 Bn |
| Jun 30, 2025 | 10.28 Bn |
| Mar 31, 2025 | 9.40 Bn |
| Dec 31, 2024 | 9.14 Bn |
| Jun 30, 2024 | 9.42 Bn |
| Dec 31, 2023 | 10.03 Bn |
| Jun 30, 2023 | 10.08 Bn |
| Dec 31, 2022 | 10.10 Bn |
| Jun 30, 2022 | 9.71 Bn |
| Dec 31, 2021 | 10.23 Bn |
| Jun 30, 2021 | 9.82 Bn |
| Dec 31, 2020 | 9.93 Bn |
| Jun 30, 2020 | 10.13 Bn |
| Dec 31, 2019 | 8.30 Bn |
| Jun 30, 2019 | 8.29 Bn |
| Dec 31, 2018 | 6.82 Bn |
Koninklijke Philips Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PHG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();