Polomar Health Services (PMHS) Price to Sales (2023 - 2026)
Polomar Health Services' (PMHS) Price to Sales stood at 1.07 in Q2 2026, down 99.6% from 288.16 a year earlier and down 60.7% from the prior quarter.
Analysis
Polomar Health Services (PMHS) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Polomar Health Services' Price to Sales came in at 34.58, up 5.1% from FY2024.
- Across earlier years, Price to Sales came in at 32.91 in FY2024 (-92.2%), 420.71 in FY2023 (-99.8%) and 169084.31 in FY2022.
- The Q2 2026 figure is the lowest quarterly Price to Sales in data going back to Q4 2023.
- On a year-over-year basis, Price to Sales rose in 1 of the last seven quarters, with an average decline of 76.3%.
- Per Business Quant, the preceding three quarters came in at 2.72 (Q1 2026), 34.58 (Q4 2025) and 151.27 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Polomar Health Services | 4.81 Mn | 4.37 Mn | 935,916.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 |
| Mar 31, 2026 | 2.72 |
| Dec 31, 2025 | 34.58 |
| Sep 30, 2025 | 151.27 |
| Jun 30, 2025 | 288.16 |
| Mar 31, 2025 | 216.79 |
| Dec 31, 2024 | 32.91 |
| Sep 30, 2024 | 675.84 |
| Jun 30, 2024 | 2,416.22 |
| Mar 31, 2024 | 1,987.82 |
| Dec 31, 2023 | 240.26 |
API Access
Polomar Health Services Price to Sales 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=price-to-sales&ticker=PMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=PMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();