Polomar Health Services (PMHS) Other Accumulated Expenses (2023 - 2026)
Polomar Health Services (PMHS) recorded Other Accumulated Expenses of $13,141 in Q2 2026, down 62.5% from $35,000 a year earlier but up 2.1% from the prior quarter.
Polomar Health Services (PMHS) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Polomar Health Services reported Other Accumulated Expenses of $12,865.
- Across earlier years, Other Accumulated Expenses came in at $30,507 in FY2023.
- Quarterly Other Accumulated Expenses has ranged from $10,000 in Q1 2025 to $833,586 in Q3 2024 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in 1 of the last four quarters, with an average decline of 47.2%.
- Per Business Quant, the preceding three quarters came in at $12,865 (Q1 2026), $12,865 (Q4 2025) and $12,864 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Polomar Health Services | 4.52 Mn | 4.09 Mn | 935,916.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,141.00 |
| Mar 31, 2026 | 12,865.00 |
| Dec 31, 2025 | 12,865.00 |
| Sep 30, 2025 | 12,864.00 |
| Jun 30, 2025 | 35,000.00 |
| Mar 31, 2025 | 10,000.00 |
| Sep 30, 2024 | 833,586.00 |
| Jun 30, 2024 | 80,171.00 |
| Dec 31, 2023 | 30,507.00 |
Polomar Health Services Other Accumulated 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=other-accumulated-expenses&ticker=PMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "PMHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=PMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();