Polomar Health Services (PMHS) Selling, General & Administrative (2022 - 2026)
Polomar Health Services (PMHS) reported Selling, General & Administrative of $261,120 for Q2 2026, down 53.1% from $556,658 a year earlier but up 6.2% from the prior quarter.
Polomar Health Services (PMHS) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Polomar Health Services' Selling, General & Administrative came in at $10.48 million, up 447.6% year-over-year; for FY2025, it came in at $10.94 million, up 752.1% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a three-year compound annual growth rate of 270.0% (FY2022 to FY2025).
- By year, Selling, General & Administrative came in at $1.28 million in FY2024 (+185.1%), $450,450 in FY2023 (+108.6%) and $215,979 in FY2022.
- Five-year quarterly Selling, General & Administrative spans a low of $18,044 in Q3 2022 and a high of $9.36 million in Q4 2025.
- Year over year, Selling, General & Administrative gained in five of the last seven quarters, with growth averaging 147.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 716.5%); the low point was Q2 2026 (a decline of 53.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $245,934 (Q1 2026), $9.36 million (Q4 2025) and $619,032 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Polomar Health Services | 4.81 Mn | 4.37 Mn | 935,916.00 | 261,120.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 261,120.00 |
| Mar 31, 2026 | 245,934.00 |
| Dec 31, 2025 | 9.36 Mn |
| Sep 30, 2025 | 619,032.00 |
| Jun 30, 2025 | 556,658.00 |
| Mar 31, 2025 | 398,836.00 |
| Dec 31, 2024 | 702,282.00 |
| Sep 30, 2024 | 256,349.00 |
| Jun 30, 2024 | 186,934.00 |
| Mar 31, 2024 | 149,280.00 |
| Dec 31, 2023 | 109,176.00 |
| Sep 30, 2023 | 147,328.00 |
| Jun 30, 2023 | 90,958.00 |
| Mar 31, 2023 | 89,806.00 |
| Dec 31, 2022 | 181,977.00 |
| Sep 30, 2022 | 18,044.00 |
Polomar Health Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=PMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();