Lincoln National (LNC) Total Liabilities (2009 - 2026)
Lincoln National (LNC) recorded Total Liabilities of $418.45 billion in Q2 2026, up 7.4% from $389.52 billion a year earlier and up 5.7% from the prior quarter.
Lincoln National (LNC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Lincoln National reported Total Liabilities of $406.3 billion, up 6.2% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $382.56 billion in FY2024 (+4.7%), $365.52 billion in FY2023 (+11.0%), $329.23 billion in FY2022 (-10.3%) and $367.03 billion in FY2021 (+6.9%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 15.7% in Q3 2024, against a decline of 10.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $395.95 billion (Q1 2026), $406.3 billion (Q4 2025) and $404.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | 731.27 Bn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 58.06 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 91.06 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 43.66 Bn |
| 10 | Lincoln National | 7.64 Bn | -36.64 Bn | 2.62 Bn | 418.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 418.45 Bn |
| Mar 31, 2026 | 395.95 Bn |
| Dec 31, 2025 | 406.30 Bn |
| Sep 30, 2025 | 404.82 Bn |
| Jun 30, 2025 | 389.52 Bn |
| Mar 31, 2025 | 374.71 Bn |
| Dec 31, 2024 | 382.56 Bn |
| Sep 30, 2024 | 387.83 Bn |
| Jun 30, 2024 | 376.58 Bn |
| Mar 31, 2024 | 375.84 Bn |
| Dec 31, 2023 | 365.52 Bn |
| Sep 30, 2023 | 335.21 Bn |
| Jun 30, 2023 | 342.79 Bn |
| Mar 31, 2023 | 336.41 Bn |
| Dec 31, 2022 | 329.23 Bn |
| Sep 30, 2022 | 321.39 Bn |
| Jun 30, 2022 | 326.02 Bn |
| Mar 31, 2022 | 351.28 Bn |
| Dec 31, 2021 | 367.03 Bn |
| Sep 30, 2021 | 355.73 Bn |
Lincoln National 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=LNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LNC", "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=LNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();