Linde (LIN) Total Liabilities (2016 - 2026)
Linde's Total Liabilities was $47.73 billion in Q2 2026, up 3.5% from $46.11 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Linde (LIN) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Linde came in at $47.09 billion, up 15.8% from FY2024.
- 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%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Liabilities has increased for 15 straight quarters, with growth averaging 8.8% 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 Q2 2026 was $46.24 billion (Q1 2026), $47.09 billion (Q4 2025) and $45.92 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Ppg Industries | 23.77 Bn | 16.57 Bn | 1.81 Bn | 13.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 38.47 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_KEYimport 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();