Linde (LIN) Total Non-Current Liabilities (2017 - 2026)
Linde's Total Non-Current Liabilities was $36.82 billion in Q2 2026, up 6.9% from $34.43 billion a year earlier and up 4.4% from the prior quarter.
Linde (LIN) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Linde came in at $35.89 billion, up 5.8% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $33.92 billion in FY2024 (+3.0%), $32.93 billion in FY2023 (+4.6%), $31.49 billion in FY2022 (+7.9%) and $29.18 billion in FY2021 (-7.1%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 15 straight quarters, with growth averaging 9.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 15.1%); the worst was Q4 2021 (a decline of 7.1%).
- Per Business Quant data, LIN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $35.26 billion (Q1 2026), $35.89 billion (Q4 2025) and $34.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Ppg Industries | 23.77 Bn | 16.57 Bn | 1.81 Bn | 13.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.82 Bn |
| Mar 31, 2026 | 35.26 Bn |
| Dec 31, 2025 | 35.89 Bn |
| Sep 30, 2025 | 34.80 Bn |
| Jun 30, 2025 | 34.43 Bn |
| Mar 31, 2025 | 32.11 Bn |
| Dec 31, 2024 | 33.92 Bn |
| Sep 30, 2024 | 31.54 Bn |
| Jun 30, 2024 | 30.45 Bn |
| Mar 31, 2024 | 29.63 Bn |
| Dec 31, 2023 | 32.93 Bn |
| Sep 30, 2023 | 27.41 Bn |
| Jun 30, 2023 | 28.09 Bn |
| Mar 31, 2023 | 29.54 Bn |
| Dec 31, 2022 | 31.49 Bn |
| Sep 30, 2022 | 25.68 Bn |
| Jun 30, 2022 | 26.49 Bn |
| Mar 31, 2022 | 27.35 Bn |
| Dec 31, 2021 | 29.18 Bn |
| Sep 30, 2021 | 26.31 Bn |
Linde 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=LIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LIN", "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=LIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();