Lunai Bioworks (LNAI) Non Operating Interest Expenses (2012 - 2026)
Lunai Bioworks' Non Operating Interest Expenses came in at -$116,886 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $188,028 a year earlier.
Lunai Bioworks (LNAI) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lunai Bioworks' Non Operating Interest Expenses was $235,074, down 67.6% from FY2025.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -9.1% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $725,684 in FY2025 (-28.2%), $1.01 million in FY2024 (+74.3%), $580,344 in FY2023 (+55.7%) and $372,844 in FY2022 (-1.8%).
- The fiscal Q4 2026 figure represents the lowest quarterly Non Operating Interest Expenses in data going back to fiscal Q4 2013.
- Year-over-year, Non Operating Interest Expenses increased in two of the last seven quarters, with an average decline of 22.7%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q2 2024 (growth of 196.0%), and the weakest in fiscal Q3 2022 (a decline of 65.8%).
- Business Quant data shows LNAI's Non Operating Interest Expenses at $108,052 (Q3 2026), $121,508 (Q2 2026) and $122,400 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | - |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | - |
| 10 | Lunai Bioworks | 537,744.47 | 537,744.47 | - | -116,886.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -116,886.00 |
| Mar 31, 2026 | 108,052.00 |
| Dec 31, 2025 | 121,508.00 |
| Sep 30, 2025 | 122,400.00 |
| Jun 30, 2025 | 188,028.00 |
| Mar 31, 2025 | 188,685.00 |
| Dec 31, 2024 | 98,891.00 |
| Sep 30, 2024 | 250,080.00 |
| Jun 30, 2024 | 253,265.00 |
| Mar 31, 2024 | 303,802.00 |
| Dec 31, 2023 | 274,984.00 |
| Sep 30, 2023 | 179,271.00 |
| Jun 30, 2023 | 269,578.00 |
| Mar 31, 2023 | 122,289.00 |
| Dec 31, 2022 | 92,892.00 |
| Sep 30, 2022 | 95,585.00 |
| Jun 30, 2022 | 94,517.00 |
| Mar 31, 2022 | 95,206.00 |
| Dec 31, 2021 | 93,382.00 |
| Sep 30, 2021 | 89,739.00 |
Lunai Bioworks Non Operating Interest 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=non-operating-interest-expenses&ticker=LNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=LNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();