IRulya Therapeutics (IRLA) Depreciation & Amortization (CF) (2018 - 2026)
IRulya Therapeutics (IRLA) posted Depreciation & Amortization (CF) of $41,000 for Q2 2026, up 17.1% from $35,000 a year earlier and up 13.9% from the prior quarter.
IRulya Therapeutics (IRLA) Depreciation & Amortization (CF) (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at IRulya Therapeutics was $152,000, down 10.1% year-over-year; for FY2025, it was $142,000, down 23.7% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- In prior years, IRulya Therapeutics' Depreciation & Amortization (CF) was $186,000 in FY2024 (-42.2%), $322,000 in FY2023 (+57.8%), $204,000 in FY2022 (-40.7%) and $344,000 in FY2021 (+3.6%).
- The Q2 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) since Q3 2024.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased in each of the last three quarters, with an average decline of 2.8% over the last seven quarters.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q4 2023, with growth of 623.8%; the weakest was Q2 2023, with a decline of 98.8%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $36,000 (Q1 2026), $39,000 (Q4 2025) and $36,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 1.58 Bn |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | 41,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41,000.00 |
| Mar 31, 2026 | 36,000.00 |
| Dec 31, 2025 | 39,000.00 |
| Sep 30, 2025 | 36,000.00 |
| Jun 30, 2025 | 35,000.00 |
| Mar 31, 2025 | 32,000.00 |
| Dec 31, 2024 | 16,000.00 |
| Sep 30, 2024 | 86,000.00 |
| Jun 30, 2024 | 44,000.00 |
| Mar 31, 2024 | 40,000.00 |
| Dec 31, 2023 | 304,000.00 |
| Jun 30, 2023 | 1,000.00 |
| Mar 31, 2023 | 17,000.00 |
| Dec 31, 2022 | 42,000.00 |
| Sep 30, 2022 | 40,000.00 |
| Jun 30, 2022 | 84,000.00 |
| Mar 31, 2022 | 38,000.00 |
| Dec 31, 2021 | 84,000.00 |
| Sep 30, 2021 | 87,000.00 |
| Jun 30, 2021 | 87,000.00 |
IRulya Therapeutics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=IRLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();