IRulya Therapeutics (IRLA) Selling, General & Administrative (2018 - 2026)
IRulya Therapeutics (IRLA) reported Selling, General & Administrative of $16.63 million for Q2 2026, up 397.5% from $3.34 million a year earlier and up 289.6% from the prior quarter.
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Analysis
IRulya Therapeutics (IRLA) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, IRulya Therapeutics' Selling, General & Administrative came in at $27.81 million, up 73.3% year-over-year; for FY2025, it came in at $15.05 million, down 14.4% from FY2024.
- Selling, General & Administrative has declined for four consecutive years, with a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $17.58 million in FY2024 (-0.6%), $17.7 million in FY2023 (-32.0%), $26.01 million in FY2022 (-11.9%) and $29.52 million in FY2021 (+67.9%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2018.
- Year over year, Selling, General & Administrative gained in 1 of the last eight quarters, with growth averaging 36.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 397.5%); the low point was Q1 2023 (a decline of 58.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.27 million (Q1 2026), $3.64 million (Q4 2025) and $3.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 3.28 Bn |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | 16.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.63 Mn |
| Mar 31, 2026 | 4.27 Mn |
| Dec 31, 2025 | 3.64 Mn |
| Sep 30, 2025 | 3.28 Mn |
| Jun 30, 2025 | 3.34 Mn |
| Mar 31, 2025 | 4.79 Mn |
| Dec 31, 2024 | 4.28 Mn |
| Sep 30, 2024 | 3.63 Mn |
| Jun 30, 2024 | 4.70 Mn |
| Mar 31, 2024 | 4.97 Mn |
| Dec 31, 2023 | 4.91 Mn |
| Sep 30, 2023 | 4.66 Mn |
| Jun 30, 2023 | 4.23 Mn |
| Mar 31, 2023 | 3.83 Mn |
| Dec 31, 2022 | 9.01 Mn |
| Sep 30, 2022 | 4.34 Mn |
| Mar 31, 2022 | 9.11 Mn |
| Dec 31, 2021 | 8.33 Mn |
| Sep 30, 2021 | 7.64 Mn |
| Jun 30, 2021 | 7.06 Mn |
API Access
IRulya 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=IRLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "IRLA", "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=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();