Lunai Bioworks (LNAI) Operating Expenses (2011 - 2026)
Lunai Bioworks (LNAI) posted Operating Expenses of $1.45 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 65.2% from $4.16 million a year earlier and down 20.6% from the prior quarter.
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Analysis
Lunai Bioworks (LNAI) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Lunai Bioworks was $133.5 million, up 68.7% year-over-year; for FY2025 (ended Jun 30, 2025), it was $188.97 million, up 131.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 73.8% (FY2020 to FY2025).
- In prior fiscal years, Lunai Bioworks' Operating Expenses was $81.64 million in FY2024 (+111.7%), $38.56 million in FY2023 (-66.8%), $116.08 million in FY2022 (+396.0%) and $23.4 million in FY2021 (+96.3%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q4 2018.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with growth averaging 101.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 642.0%; the weakest was fiscal Q1 2026, with a decline of 93.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.82 million (Q2 2026), $3.31 million (Q1 2026) and $126.92 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Lunai Bioworks | 5.81 Mn | 1.06 Mn | 20,942.00 | 1.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | 1.82 Mn |
| Sep 30, 2025 | 3.31 Mn |
| Jun 30, 2025 | 126.92 Mn |
| Mar 31, 2025 | 4.16 Mn |
| Dec 31, 2024 | 4.55 Mn |
| Sep 30, 2024 | 53.34 Mn |
| Jun 30, 2024 | 17.10 Mn |
| Mar 31, 2024 | 51.38 Mn |
| Dec 31, 2023 | 4.27 Mn |
| Sep 30, 2023 | 8.88 Mn |
| Jun 30, 2023 | 22.93 Mn |
| Mar 31, 2023 | 4.06 Mn |
| Dec 31, 2022 | 4.37 Mn |
| Sep 30, 2022 | 7.19 Mn |
| Jun 30, 2022 | 98.21 Mn |
| Mar 31, 2022 | 4.03 Mn |
| Dec 31, 2021 | 6.33 Mn |
| Sep 30, 2021 | 7.50 Mn |
| Jun 30, 2021 | 14.18 Mn |
API Access
Lunai Bioworks 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=LNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LNAI", "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=LNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();