Mineralys Therapeutics (MLYS) Selling, General & Administrative (2022 - 2026)
Mineralys Therapeutics (MLYS) posted Selling, General & Administrative of $24.66 million for Q2 2026, up 191.2% from $8.47 million a year earlier and up 17.6% from the prior quarter.
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Analysis
Mineralys Therapeutics (MLYS) Selling, General & Administrative (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Mineralys Therapeutics was $69.2 million, up 144.0% year-over-year; for FY2025, it came in at $38.6 million, up 62.0% from FY2024.
- Annual Selling, General & Administrative has increased for three consecutive years, with a three-year compound annual growth rate of 94.7% (FY2022 to FY2025).
- In prior years, Mineralys Therapeutics' Selling, General & Administrative was $23.82 million in FY2024 (+66.6%), $14.3 million in FY2023 (+173.4%) and $5.23 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative in data going back to Q1 2022.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last 14 quarters, with growth averaging 98.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Selling, General & Administrative ran from 42.5% in Q1 2025 to 335.6% in Q2 2023.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $20.98 million (Q1 2026), $13.88 million (Q4 2025) and $9.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Mineralys Therapeutics | 2.09 Bn | 2.09 Bn | - | 24.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.66 Mn |
| Mar 31, 2026 | 20.98 Mn |
| Dec 31, 2025 | 13.88 Mn |
| Sep 30, 2025 | 9.68 Mn |
| Jun 30, 2025 | 8.47 Mn |
| Mar 31, 2025 | 6.57 Mn |
| Dec 31, 2024 | 7.20 Mn |
| Sep 30, 2024 | 6.12 Mn |
| Jun 30, 2024 | 5.90 Mn |
| Mar 31, 2024 | 4.61 Mn |
| Dec 31, 2023 | 4.03 Mn |
| Sep 30, 2023 | 3.77 Mn |
| Jun 30, 2023 | 3.85 Mn |
| Mar 31, 2023 | 2.65 Mn |
| Dec 31, 2022 | 2.19 Mn |
| Sep 30, 2022 | 1.36 Mn |
| Jun 30, 2022 | 884,000.00 |
| Mar 31, 2022 | 791,000.00 |
API Access
Mineralys Therapeutics 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=MLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MLYS", "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=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();