Lunai Bioworks (LNAI) Accumulated Expenses (2012 - 2026)
Lunai Bioworks (LNAI) reported Accumulated Expenses of $4.91 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 14.0% from $5.72 million a year earlier and down 0.3% from the prior quarter.
Lunai Bioworks (LNAI) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Lunai Bioworks posted Accumulated Expenses of $5.84 million, up 10.0% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 65.5% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $5.31 million in FY2024 (+634.4%), $723,173 in FY2023 (-29.9%), $1.03 million in FY2022 (-12.8%) and $1.18 million in FY2021 (+151.2%).
- Five-year quarterly Accumulated Expenses spans a low of $364,769 in fiscal Q1 2022 and a high of $5.84 million in fiscal Q4 2025.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with growth averaging 229.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2024 (growth of 634.4%); the low point was fiscal Q4 2023 (a decline of 29.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.93 million (Q2 2026), $4.87 million (Q1 2026) and $5.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Lunai Bioworks | 4.59 Mn | -159,591.66 | 20,942.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.91 Mn |
| Dec 31, 2025 | 4.93 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 5.84 Mn |
| Mar 31, 2025 | 5.72 Mn |
| Dec 31, 2024 | 5.51 Mn |
| Sep 30, 2024 | 5.36 Mn |
| Jun 30, 2024 | 5.31 Mn |
| Mar 31, 2024 | 3.75 Mn |
| Dec 31, 2023 | 783,601.00 |
| Sep 30, 2023 | 797,778.00 |
| Jun 30, 2023 | 723,173.00 |
| Mar 31, 2023 | 593,728.00 |
| Dec 31, 2022 | 932,603.00 |
| Sep 30, 2022 | 1.04 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 466,324.00 |
| Dec 31, 2021 | 504,383.00 |
| Sep 30, 2021 | 364,769.00 |
| Jun 30, 2021 | 1.18 Mn |
Lunai Bioworks 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=LNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();