Palomar Holdings (PLMR) Return on Sales [ROS] (2018 - 2026)
Palomar Holdings (PLMR) reported Return on Sales [ROS] of -9.28% for Q2 2026, down 16.02 percentage points from 6.74% a year earlier but up 2.78 percentage points from the prior quarter.
Palomar Holdings (PLMR) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Palomar Holdings' Return on Sales [ROS] came in at -6.11%, down 11.19 percentage points year-over-year; for FY2025, it came in at 2.83%, down 0.14 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +37.20 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 2.97% in FY2024 (-5.29 pp), 8.26% in FY2023 (+11.66 pp), -3.40% in FY2022 (-9.73 pp) and 6.33% in FY2021 (+40.69 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -41.90% in Q3 2021 and a high of 15.34% in Q4 2021.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -6.94 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 97.89 percentage points); the low point was Q1 2022 (a drop of 26.56 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -12.06% (Q1 2026), 0.71% (Q4 2025) and -2.32% (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 | Palomar Holdings | 3.31 Bn | 3.00 Bn | 215.44 Mn | -9.28% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.28% |
| Mar 31, 2026 | -12.06% |
| Dec 31, 2025 | 0.71% |
| Sep 30, 2025 | -2.32% |
| Jun 30, 2025 | 6.74% |
| Mar 31, 2025 | 8.57% |
| Dec 31, 2024 | 5.00% |
| Sep 30, 2024 | -1.22% |
| Jun 30, 2024 | 2.25% |
| Mar 31, 2024 | 6.34% |
| Dec 31, 2023 | 14.77% |
| Sep 30, 2023 | 9.23% |
| Jun 30, 2023 | 5.66% |
| Mar 31, 2023 | 2.22% |
| Dec 31, 2022 | 7.40% |
| Sep 30, 2022 | -31.85% |
| Jun 30, 2022 | 5.61% |
| Mar 31, 2022 | 5.29% |
| Dec 31, 2021 | 15.34% |
| Sep 30, 2021 | -41.90% |
Palomar Holdings 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=PLMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PLMR", "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=PLMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();