Aldeyra Therapeutics (ALDX) Operating Expenses (2013 - 2026)
Aldeyra Therapeutics' Operating Expenses came in at $5.85 million for Q2 2026, down 42.5% from $10.17 million a year earlier but up 64.9% from the prior quarter.
Aldeyra Therapeutics (ALDX) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aldeyra Therapeutics reported Operating Expenses of $24.07 million, down 54.9% year-over-year; for FY2025, it came in at $35.27 million, down 41.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $60.12 million in FY2024 (+40.5%), $42.79 million in FY2023 (-31.7%), $62.68 million in FY2022 (+11.5%) and $56.22 million in FY2021 (+62.2%).
- The five-year range for quarterly Operating Expenses is $3.55 million (Q1 2026) to $18.01 million (Q2 2024).
- Year-over-year, Operating Expenses has declined for five consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 171.9%), and the weakest in Q1 2026 (a decline of 66.0%).
- Business Quant data shows ALDX's Operating Expenses at $3.55 million (Q1 2026), $6.67 million (Q4 2025) and $8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Aldeyra Therapeutics | 40.82 Mn | -214.61 Mn | - | 5.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.85 Mn |
| Mar 31, 2026 | 3.55 Mn |
| Dec 31, 2025 | 6.67 Mn |
| Sep 30, 2025 | 8.00 Mn |
| Jun 30, 2025 | 10.17 Mn |
| Mar 31, 2025 | 10.43 Mn |
| Dec 31, 2024 | 16.58 Mn |
| Sep 30, 2024 | 16.14 Mn |
| Jun 30, 2024 | 18.01 Mn |
| Mar 31, 2024 | 9.39 Mn |
| Dec 31, 2023 | 6.10 Mn |
| Sep 30, 2023 | 9.55 Mn |
| Jun 30, 2023 | 10.34 Mn |
| Mar 31, 2023 | 16.80 Mn |
| Dec 31, 2022 | 13.70 Mn |
| Sep 30, 2022 | 14.78 Mn |
| Jun 30, 2022 | 17.71 Mn |
| Mar 31, 2022 | 16.48 Mn |
| Dec 31, 2021 | 15.40 Mn |
| Sep 30, 2021 | 15.44 Mn |
Aldeyra Therapeutics Operating 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=operating-expenses&ticker=ALDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALDX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ALDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();