Palomar Holdings (PLMR) Operating Expenses (2018 - 2026)
Palomar Holdings' Operating Expenses came in at $244.62 million for Q2 2026, up 70.5% from $143.43 million a year earlier and up 8.5% from the prior quarter.
Palomar Holdings (PLMR) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Palomar Holdings reported Operating Expenses of $828.32 million, up 70.7% year-over-year; for FY2025, it was $622.58 million, up 54.6% from FY2024.
- Operating Expenses has increased in each of the last eight years, with a five-year compound annual growth rate of 30.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $402.67 million in FY2024 (+47.9%), $272.28 million in FY2023 (+4.9%), $259.54 million in FY2022 (+36.1%) and $190.65 million in FY2021 (+17.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2018.
- Year-over-year, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 61.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 102.6%), and the weakest in Q3 2023 (a decline of 12.0%).
- Business Quant data shows PLMR's Operating Expenses at $225.48 million (Q1 2026), $180.71 million (Q4 2025) and $177.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Palomar Holdings | 3.22 Bn | 2.91 Bn | 215.44 Mn | 244.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 244.62 Mn |
| Mar 31, 2026 | 225.48 Mn |
| Dec 31, 2025 | 180.71 Mn |
| Sep 30, 2025 | 177.52 Mn |
| Jun 30, 2025 | 143.43 Mn |
| Mar 31, 2025 | 120.92 Mn |
| Dec 31, 2024 | 110.80 Mn |
| Sep 30, 2024 | 110.00 Mn |
| Jun 30, 2024 | 97.70 Mn |
| Mar 31, 2024 | 84.18 Mn |
| Dec 31, 2023 | 71.93 Mn |
| Sep 30, 2023 | 66.40 Mn |
| Jun 30, 2023 | 67.38 Mn |
| Mar 31, 2023 | 66.57 Mn |
| Dec 31, 2022 | 63.65 Mn |
| Sep 30, 2022 | 75.49 Mn |
| Jun 30, 2022 | 61.37 Mn |
| Mar 31, 2022 | 59.03 Mn |
| Dec 31, 2021 | 51.78 Mn |
| Sep 30, 2021 | 67.54 Mn |
Palomar Holdings Operating 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=operating-expenses&ticker=PLMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PLMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();