Lincoln National (LNC) Return on Sales [ROS] (2009 - 2026)
Lincoln National (LNC) recorded Return on Sales [ROS] of -6.10% in Q2 2026, up 22.24 percentage points from -28.34% a year earlier and up 37.27 percentage points from the prior quarter.
Lincoln National (LNC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Lincoln National's Return on Sales [ROS] came in at -26.06% as of Jun 30, 2026, up 11.20 percentage points year-over-year; for FY2025, it was -36.36%, down 15.23 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +10.97 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -21.13% in FY2024 (+41.44 pp), -62.57% in FY2023 (-26.66 pp), -35.91% in FY2022 (-14.12 pp) and -21.79% in FY2021 (+25.54 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +14.24 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 162.37 percentage points in Q4 2024, against a drop of 112.41 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -43.37% (Q1 2026), -21.48% (Q4 2025) and -30.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Lincoln National | 7.71 Bn | -36.57 Bn | 2.62 Bn | -6.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.10% |
| Mar 31, 2026 | -43.37% |
| Dec 31, 2025 | -21.48% |
| Sep 30, 2025 | -30.78% |
| Jun 30, 2025 | -28.34% |
| Mar 31, 2025 | -64.31% |
| Dec 31, 2024 | 2.57% |
| Sep 30, 2024 | -64.22% |
| Jun 30, 2024 | -17.70% |
| Mar 31, 2024 | -11.54% |
| Dec 31, 2023 | -159.80% |
| Sep 30, 2023 | -26.60% |
| Jun 30, 2023 | -54.28% |
| Mar 31, 2023 | -90.74% |
| Dec 31, 2022 | -47.39% |
| Sep 30, 2022 | -91.50% |
| Jun 30, 2022 | -16.53% |
| Mar 31, 2022 | -6.80% |
| Dec 31, 2021 | -26.72% |
| Sep 30, 2021 | -33.51% |
Lincoln National Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();