Rein Therapeutics (RNTX) Selling, General & Administrative (2016 - 2026)
Rein Therapeutics (RNTX) reported Selling, General & Administrative of $2.44 million for Q2 2026, down 5.5% from $2.58 million a year earlier but up 13.0% from the prior quarter.
Rein Therapeutics (RNTX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rein Therapeutics' Selling, General & Administrative came in at $10.36 million, up 4.1% year-over-year; for FY2025, it came in at $10.9 million, down 21.4% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $13.86 million in FY2024 (+22.1%), $11.36 million in FY2023 (+17.3%), $9.68 million in FY2022 (+0.9%) and $9.6 million in FY2021 (+2.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $1.89 million in Q2 2023 and a high of $5.33 million in Q4 2023.
- Year over year, Selling, General & Administrative has now declined in each of the last three quarters, with an average decline of 12.0% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 179.9%); the low point was Q4 2024 (a decline of 53.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.16 million (Q1 2026), $1.96 million (Q4 2025) and $3.81 million (Q3 2025).
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 | Rein Therapeutics | 53.67 Mn | 53.67 Mn | - | 2.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.44 Mn |
| Mar 31, 2026 | 2.16 Mn |
| Dec 31, 2025 | 1.96 Mn |
| Sep 30, 2025 | 3.81 Mn |
| Jun 30, 2025 | 2.58 Mn |
| Mar 31, 2025 | 2.56 Mn |
| Dec 31, 2024 | 2.48 Mn |
| Sep 30, 2024 | 2.35 Mn |
| Jun 30, 2024 | 5.30 Mn |
| Mar 31, 2024 | 3.74 Mn |
| Dec 31, 2023 | 5.33 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 1.89 Mn |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 2.24 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 2.53 Mn |
| Dec 31, 2021 | 2.26 Mn |
| Sep 30, 2021 | 2.51 Mn |
Rein 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=RNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RNTX", "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=RNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();