Linde (LIN) Total Liabilities (2016 - 2026)
Linde's Total Liabilities was $47.09 billion in Q3 2026, up 2.5% from $45.92 billion a year earlier but down 1.3% from the prior quarter.
Analysis
Linde (LIN) Total Liabilities (2016 - 2026) Analysis & Trends
From Q4 2016 onward, Linde has reported Total Liabilities for 36 quarters.
- Total Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $40.67 billion in FY2024 (+2.4%), $39.73 billion in FY2023 (+3.8%), $38.28 billion in FY2022 (+5.8%) and $36.18 billion in FY2021 (-6.4%).
- Quarterly Total Liabilities has moved between $35.4 billion (Q3 2022) and $47.73 billion (Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 16 straight quarters, with growth averaging 7.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2025 (growth of 15.8%); the worst was Q3 2022 (a decline of 8.0%).
- Per Business Quant data, LIN's Total Liabilities in the three quarters before Q3 2026 was $47.73 billion (Q2 2026), $46.24 billion (Q1 2026) and $47.09 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 47.09 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 19.84 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 22.98 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 23.49 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | 26.94 Bn |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 13.95 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 6.83 Bn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 3.43 Bn |
| 10 | Dow | 22.14 Bn | 6.10 Bn | 1.38 Bn | 43.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.09 Bn |
| Jun 30, 2026 | 47.73 Bn |
| Mar 31, 2026 | 46.24 Bn |
| Dec 31, 2025 | 47.09 Bn |
| Sep 30, 2025 | 45.92 Bn |
| Jun 30, 2025 | 46.11 Bn |
| Mar 31, 2025 | 43.25 Bn |
| Dec 31, 2024 | 40.67 Bn |
| Sep 30, 2024 | 41.96 Bn |
| Jun 30, 2024 | 40.68 Bn |
| Mar 31, 2024 | 40.13 Bn |
| Dec 31, 2023 | 39.73 Bn |
| Sep 30, 2023 | 37.60 Bn |
| Jun 30, 2023 | 37.48 Bn |
| Mar 31, 2023 | 38.99 Bn |
| Dec 31, 2022 | 38.28 Bn |
| Sep 30, 2022 | 35.40 Bn |
| Jun 30, 2022 | 36.86 Bn |
| Mar 31, 2022 | 38.39 Bn |
| Dec 31, 2021 | 36.18 Bn |
API Access
Linde Total 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-liabilities&ticker=LIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();