Polomar Health Services (PMHS) Return on Sales [ROS] (2022 - 2026)
Polomar Health Services (PMHS) reported Return on Sales [ROS] of 14.29% for Q2 2026, up 10312.88 percentage points from -10298.59% a year earlier and up 14.97 percentage points from the prior quarter.
Polomar Health Services (PMHS) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Polomar Health Services' Return on Sales [ROS] came in at -295.04%, up 4436.06 percentage points year-over-year; for FY2025, it was -1627.55%, up 581.58 percentage points from FY2024.
- Return on Sales [ROS] has a three-year change of -1101.99 percentage points (FY2022 to FY2025).
- By year, Return on Sales [ROS] came in at -2209.13% in FY2024 (-1155.61 pp), -1053.51% in FY2023 (-527.96 pp) and -525.55% in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q3 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -991.84 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 10312.88 percentage points); the low point was Q2 2025 (a drop of 8982.68 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -0.69% (Q1 2026), -1414.86% (Q4 2025) and -10202.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Polomar Health Services | 4.52 Mn | 4.09 Mn | 935,916.00 | 14.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.29% |
| Mar 31, 2026 | -0.69% |
| Dec 31, 2025 | -1,414.86% |
| Sep 30, 2025 | -10,202.95% |
| Jun 30, 2025 | -10,298.59% |
| Mar 31, 2025 | -9,145.93% |
| Dec 31, 2024 | -3,301.93% |
| Sep 30, 2024 | -2,631.47% |
| Jun 30, 2024 | -1,315.92% |
| Mar 31, 2024 | -1,179.04% |
| Dec 31, 2023 | -546.84% |
| Sep 30, 2023 | -627.66% |
| Dec 31, 2022 | -506.59% |
| Sep 30, 2022 | -298.67% |
Polomar Health Services 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=PMHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();