Koninklijke Philips (PHG) Total Non-Current Liabilities (2009 - 2026)
Koninklijke Philips' Total Non-Current Liabilities came in at $9.07 billion for Q2 2026, down 8.6% from $9.93 billion a year earlier and down 8.0% 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 $9.54 billion, up 0.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $9.51 billion in FY2024 (-2.9%), $9.8 billion in FY2023 (-1.8%), $9.98 billion in FY2022 (-6.7%) and $10.69 billion in FY2021 (+16.0%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2019.
- Year-over-year, Total Non-Current Liabilities increased in three of the last five quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2026 (growth of 7.9%), and the weakest in Q2 2026 (a decline of 8.6%).
- Business Quant data shows PHG's Total Non-Current Liabilities at $9.85 billion (Q1 2026), $9.83 billion (Q4 2025) and $10.2 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Koninklijke Philips | 24.18 Bn | 13.26 Bn | 4.55 Bn | 9.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.07 Bn |
| Mar 31, 2026 | 9.85 Bn |
| Dec 31, 2025 | 9.83 Bn |
| Sep 30, 2025 | 10.20 Bn |
| Jun 30, 2025 | 9.93 Bn |
| Mar 31, 2025 | 9.13 Bn |
| Dec 31, 2024 | 9.39 Bn |
| Jun 30, 2024 | 9.47 Bn |
| Dec 31, 2023 | 9.75 Bn |
| Jun 30, 2023 | 10.10 Bn |
| Dec 31, 2022 | 9.66 Bn |
| Jun 30, 2022 | 9.92 Bn |
| Dec 31, 2021 | 10.34 Bn |
| Jun 30, 2021 | 9.93 Bn |
| Dec 31, 2020 | 9.63 Bn |
| Jun 30, 2020 | 9.93 Bn |
| Dec 31, 2019 | 8.21 Bn |
| Jun 30, 2019 | 8.19 Bn |
| Dec 31, 2018 | 6.80 Bn |
| Jun 30, 2018 | 7.16 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();