Loews (L) Total Liabilities (2009 - 2026)
Loews' Total Liabilities was $67.2 billion in Q2 2026, up 1.4% from $66.28 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
Loews (L) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Loews came in at $66.71 billion, up 4.2% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $64.01 billion in FY2024 (+2.1%), $62.67 billion in FY2023 (+3.8%), $60.37 billion in FY2022 (-5.9%) and $64.16 billion in FY2021 (+1.2%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Liabilities has increased for 13 straight quarters, with growth averaging 2.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 6.6%); the worst was Q4 2022 (a decline of 5.9%).
- Per Business Quant data, L's Total Liabilities in the three quarters before Q2 2026 was $66.06 billion (Q1 2026), $66.71 billion (Q4 2025) and $66.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | 44.25 Bn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | 731.27 Bn |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 731.63 Bn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | 91.06 Bn |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | 58.06 Bn |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | 85.65 Bn |
| 10 | Loews | 22.32 Bn | 18.30 Mn | 2.57 Bn | 67.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.20 Bn |
| Mar 31, 2026 | 66.06 Bn |
| Dec 31, 2025 | 66.71 Bn |
| Sep 30, 2025 | 66.72 Bn |
| Jun 30, 2025 | 66.28 Bn |
| Mar 31, 2025 | 65.11 Bn |
| Dec 31, 2024 | 64.01 Bn |
| Sep 30, 2024 | 65.37 Bn |
| Jun 30, 2024 | 63.86 Bn |
| Mar 31, 2024 | 63.91 Bn |
| Dec 31, 2023 | 62.67 Bn |
| Sep 30, 2023 | 61.31 Bn |
| Jun 30, 2023 | 61.88 Bn |
| Mar 31, 2023 | 61.25 Bn |
| Dec 31, 2022 | 60.37 Bn |
| Sep 30, 2022 | 60.55 Bn |
| Jun 30, 2022 | 61.36 Bn |
| Mar 31, 2022 | 62.57 Bn |
| Dec 31, 2021 | 64.16 Bn |
| Sep 30, 2021 | 62.60 Bn |
API Access
Loews 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=L&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=L&period=max&api_key=YOUR_API_KEY");
const data = await res.json();