Loews (L) Non Operating Interest Expenses (2009 - 2026)
Loews (L) posted Non Operating Interest Expenses of $103 million for Q2 2026, down 3.7% from $107 million a year earlier and down 8.8% from the prior quarter.
Loews (L) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Loews was $441 million, up 1.1% year-over-year; for FY2025, it came in at $437 million, down 0.9% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- In prior years, Loews' Non Operating Interest Expenses was $441 million in FY2024 (+17.3%), $376 million in FY2023 (-0.5%), $378 million in FY2022 (-10.8%) and $424 million in FY2021 (-17.7%).
- Quarterly Non Operating Interest Expenses has run from a low of $91 million in Q2 2023 to a high of $114 million in Q3 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in five of the last eight quarters, with growth averaging 4.6%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2024, with growth of 25.3%; the weakest was Q3 2021, with a decline of 27.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $113 million (Q1 2026), $113 million (Q4 2025) and $112 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | 200.00 Mn |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | 88.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | 250.00 Mn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | 113.00 Mn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | -280.50 Mn |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | - |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | 168.00 Mn |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | - |
| 10 | Loews | 22.32 Bn | 18.30 Mn | 2.57 Bn | 103.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.00 Mn |
| Mar 31, 2026 | 113.00 Mn |
| Dec 31, 2025 | 113.00 Mn |
| Sep 30, 2025 | 112.00 Mn |
| Jun 30, 2025 | 107.00 Mn |
| Mar 31, 2025 | 105.00 Mn |
| Dec 31, 2024 | 110.00 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Jun 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 103.00 Mn |
| Dec 31, 2023 | 96.00 Mn |
| Sep 30, 2023 | 94.00 Mn |
| Jun 30, 2023 | 91.00 Mn |
| Mar 31, 2023 | 95.00 Mn |
| Dec 31, 2022 | 94.00 Mn |
| Sep 30, 2022 | 92.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 96.00 Mn |
| Dec 31, 2021 | 100.00 Mn |
| Sep 30, 2021 | 99.00 Mn |
Loews Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=L&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=L&period=max&api_key=YOUR_API_KEY");
const data = await res.json();