Palomar Holdings (PLMR) Total Liabilities (2018 - 2026)
Palomar Holdings (PLMR) posted Total Liabilities of $2.98 billion for Q2 2026, up 50.3% from $1.99 billion a year earlier and up 12.4% from the prior quarter.
Palomar Holdings (PLMR) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Palomar Holdings' Total Liabilities came in at $2.11 billion, up 37.5% from FY2024.
- Annual Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 42.0% (FY2020 to FY2025).
- In prior years, Palomar Holdings' Total Liabilities was $1.53 billion in FY2024 (+24.0%), $1.24 billion in FY2023 (+34.2%), $921.7 million in FY2022 (+73.4%) and $531.57 million in FY2021 (+45.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities has increased in each of the last 27 quarters, with growth averaging 36.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 18.3% (Q1 2025) to 79.6% (Q1 2023).
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.65 billion (Q1 2026), $2.11 billion (Q4 2025) and $2.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | Palomar Holdings | 3.22 Bn | 2.91 Bn | 215.44 Mn | 2.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.98 Bn |
| Mar 31, 2026 | 2.65 Bn |
| Dec 31, 2025 | 2.11 Bn |
| Sep 30, 2025 | 2.07 Bn |
| Jun 30, 2025 | 1.99 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.53 Bn |
| Sep 30, 2024 | 1.57 Bn |
| Jun 30, 2024 | 1.48 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 1.24 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 921.70 Mn |
| Sep 30, 2022 | 848.62 Mn |
| Jun 30, 2022 | 673.08 Mn |
| Mar 31, 2022 | 577.03 Mn |
| Dec 31, 2021 | 531.57 Mn |
| Sep 30, 2021 | 499.03 Mn |
Palomar Holdings 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=PLMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PLMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();