IRulya Therapeutics (IRLA) Accumulated Expenses (2018 - 2026)
IRulya Therapeutics' Accumulated Expenses was $3.86 million in Q2 2026, down 32.3% from $5.71 million a year earlier but up 14.5% from the prior quarter.
IRulya Therapeutics (IRLA) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at IRulya Therapeutics came in at $10.61 million, up 142.5% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $4.38 million in FY2024 (+27.3%), $3.44 million in FY2023 (+37.5%), $2.5 million in FY2022 (-73.2%) and $9.31 million in FY2021 (-30.7%).
- Quarterly Accumulated Expenses has moved between $1.46 million (Q1 2023) and $11.27 million (Q3 2021) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 51.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2025 (growth of 142.5%); the worst was Q1 2023 (a decline of 75.5%).
- Per Business Quant data, IRLA's Accumulated Expenses in the three quarters before Q2 2026 was $3.38 million (Q1 2026), $10.61 million (Q4 2025) and $5.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.86 Mn |
| Mar 31, 2026 | 3.38 Mn |
| Dec 31, 2025 | 10.61 Mn |
| Sep 30, 2025 | 5.12 Mn |
| Jun 30, 2025 | 5.71 Mn |
| Mar 31, 2025 | 5.35 Mn |
| Dec 31, 2024 | 4.38 Mn |
| Sep 30, 2024 | 3.80 Mn |
| Jun 30, 2024 | 2.92 Mn |
| Mar 31, 2024 | 3.02 Mn |
| Dec 31, 2023 | 3.44 Mn |
| Sep 30, 2023 | 1.84 Mn |
| Jun 30, 2023 | 1.60 Mn |
| Mar 31, 2023 | 1.46 Mn |
| Dec 31, 2022 | 2.50 Mn |
| Sep 30, 2022 | 3.76 Mn |
| Jun 30, 2022 | 4.08 Mn |
| Mar 31, 2022 | 5.98 Mn |
| Dec 31, 2021 | 9.31 Mn |
| Sep 30, 2021 | 11.27 Mn |
IRulya Therapeutics Accumulated Expenses 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=accumulated-expenses&ticker=IRLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();