Corning (GLW) Total Non-Current Liabilities (2009 - 2026)
Corning's Total Non-Current Liabilities was $14.1 billion in Q2 2026, up 12.9% from $12.49 billion a year earlier and up 1.1% from the prior quarter.
Corning (GLW) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Corning came in at $13.57 billion, up 11.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $12.14 billion in FY2024 (+1.8%), $11.92 billion in FY2023 (-2.8%), $12.27 billion in FY2022 (-1.2%) and $12.42 billion in FY2021 (+2.3%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for eight straight quarters, with growth averaging 7.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 18.1%); the worst was Q1 2023 (a decline of 5.5%).
- Per Business Quant data, GLW's Total Non-Current Liabilities in the three quarters before Q2 2026 was $13.95 billion (Q1 2026), $13.57 billion (Q4 2025) and $13.29 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 13.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.10 Bn |
| Mar 31, 2026 | 13.95 Bn |
| Dec 31, 2025 | 13.57 Bn |
| Sep 30, 2025 | 13.29 Bn |
| Jun 30, 2025 | 12.49 Bn |
| Mar 31, 2025 | 11.81 Bn |
| Dec 31, 2024 | 12.14 Bn |
| Sep 30, 2024 | 12.07 Bn |
| Jun 30, 2024 | 11.79 Bn |
| Mar 31, 2024 | 11.62 Bn |
| Dec 31, 2023 | 11.92 Bn |
| Sep 30, 2023 | 11.90 Bn |
| Jun 30, 2023 | 12.26 Bn |
| Mar 31, 2023 | 11.83 Bn |
| Dec 31, 2022 | 12.27 Bn |
| Sep 30, 2022 | 12.28 Bn |
| Jun 30, 2022 | 12.80 Bn |
| Mar 31, 2022 | 12.52 Bn |
| Dec 31, 2021 | 12.42 Bn |
| Sep 30, 2021 | 12.09 Bn |
Corning 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=GLW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GLW", "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=GLW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();