Lyra Therapeutics (LYRA) Operating Expenses (2019 - 2025)
Lyra Therapeutics (LYRA) posted Operating Expenses of $7.13 million for Q4 2025, down 38.7% from $11.62 million a year earlier but up 13.8% from the prior quarter.
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Analysis
Lyra Therapeutics (LYRA) Operating Expenses (2019 - 2025) Analysis & Trends
For FY2025, Lyra Therapeutics' Operating Expenses came in at $31.42 million, down 67.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Lyra Therapeutics' Operating Expenses was $97.88 million in FY2024 (+42.5%), $68.68 million in FY2023 (+19.1%), $57.67 million in FY2022 (+31.4%) and $43.9 million in FY2021 (+97.7%).
- Quarterly Operating Expenses has run from a low of $6.26 million in Q3 2025 to a high of $49.57 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 192.3%; the weakest was Q2 2025, with a decline of 81.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $6.26 million (Q3 2025), $9.01 million (Q2 2025) and $9.02 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Lyra Therapeutics | 354,976.41 | 354,976.41 | - | 7.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.13 Mn |
| Sep 30, 2025 | 6.26 Mn |
| Jun 30, 2025 | 9.01 Mn |
| Mar 31, 2025 | 9.02 Mn |
| Dec 31, 2024 | 11.62 Mn |
| Sep 30, 2024 | 12.64 Mn |
| Jun 30, 2024 | 49.57 Mn |
| Mar 31, 2024 | 24.06 Mn |
| Dec 31, 2023 | 16.62 Mn |
| Sep 30, 2023 | 17.37 Mn |
| Jun 30, 2023 | 16.96 Mn |
| Mar 31, 2023 | 17.72 Mn |
| Dec 31, 2022 | 15.17 Mn |
| Sep 30, 2022 | 15.19 Mn |
| Jun 30, 2022 | 14.93 Mn |
| Mar 31, 2022 | 12.39 Mn |
| Dec 31, 2021 | 13.91 Mn |
| Sep 30, 2021 | 11.10 Mn |
| Jun 30, 2021 | 11.07 Mn |
| Mar 31, 2021 | 7.83 Mn |
API Access
Lyra 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=LYRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LYRA", "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=LYRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();