Loews (L) Total Non-Current Liabilities (2009 - 2026)
Loews (L) reported Total Non-Current Liabilities of $62.54 billion for Q2 2026, up 1.2% from $61.8 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
Loews (L) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Loews posted Total Non-Current Liabilities of $62.2 billion, up 4.3% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $59.61 billion in FY2024 (+2.1%), $58.37 billion in FY2023 (+4.1%), $56.08 billion in FY2022 (-5.9%) and $59.63 billion in FY2021 (+1.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 13 quarters, with growth averaging 3.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 7.1%); the low point was Q4 2022 (a decline of 5.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.68 billion (Q1 2026), $62.2 billion (Q4 2025) and $62.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | 193.01 Bn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | 42.76 Bn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | 103.73 Bn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | 709.73 Bn |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 574.78 Bn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | 91.05 Bn |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | 55.80 Bn |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | 82.01 Bn |
| 10 | Loews | 22.32 Bn | 18.30 Mn | 2.57 Bn | 62.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.54 Bn |
| Mar 31, 2026 | 61.68 Bn |
| Dec 31, 2025 | 62.20 Bn |
| Sep 30, 2025 | 62.36 Bn |
| Jun 30, 2025 | 61.80 Bn |
| Mar 31, 2025 | 60.64 Bn |
| Dec 31, 2024 | 59.61 Bn |
| Sep 30, 2024 | 60.96 Bn |
| Jun 30, 2024 | 59.42 Bn |
| Mar 31, 2024 | 59.60 Bn |
| Dec 31, 2023 | 58.37 Bn |
| Sep 30, 2023 | 56.90 Bn |
| Jun 30, 2023 | 57.68 Bn |
| Mar 31, 2023 | 57.21 Bn |
| Dec 31, 2022 | 56.08 Bn |
| Sep 30, 2022 | 56.04 Bn |
| Jun 30, 2022 | 56.87 Bn |
| Mar 31, 2022 | 58.26 Bn |
| Dec 31, 2021 | 59.63 Bn |
| Sep 30, 2021 | 57.92 Bn |
API Access
Loews 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=L&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "L", "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=L&period=max&api_key=YOUR_API_KEY");
const data = await res.json();