Barinthus Biotherapeutics (BRNS) Non Operating Interest Expenses (2020 - 2026)
Barinthus Biotherapeutics' Non Operating Interest Expenses came in at $14,000 for Q2 2026, up 16.7% from $12,000 a year earlier and up 7.7% from the prior quarter.
Barinthus Biotherapeutics (BRNS) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Barinthus Biotherapeutics reported Non Operating Interest Expenses of $53,000, down 1.9% year-over-year; for FY2025, it came in at $51,000, down 3.8% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -57.3% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $53,000 in FY2024 (+89.3%), $28,000 in FY2023 (+47.4%), $19,000 in FY2022 (-99.3%) and $2.67 million in FY2021 (-25.9%).
- The Q2 2026 figure represents the highest quarterly Non Operating Interest Expenses since Q3 2024.
- Year-over-year, Non Operating Interest Expenses increased in five of the last eight quarters, with growth averaging 28.0%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2024 (growth of 142.9%), and the weakest in Q4 2021 (a decline of 99.3%).
- Business Quant data shows BRNS's Non Operating Interest Expenses at $13,000 (Q1 2026), $13,000 (Q4 2025) and $13,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Barinthus Biotherapeutics | 30.23 Mn | 30.29 Mn | - | 14,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14,000.00 |
| Mar 31, 2026 | 13,000.00 |
| Dec 31, 2025 | 13,000.00 |
| Sep 30, 2025 | 13,000.00 |
| Jun 30, 2025 | 12,000.00 |
| Mar 31, 2025 | 13,000.00 |
| Dec 31, 2024 | 12,000.00 |
| Sep 30, 2024 | 17,000.00 |
| Jun 30, 2024 | 12,000.00 |
| Mar 31, 2024 | 12,000.00 |
| Dec 31, 2023 | 7,000.00 |
| Sep 30, 2023 | 7,000.00 |
| Jun 30, 2023 | 14,000.00 |
| Mar 31, 2022 | 74,000.00 |
| Dec 31, 2021 | 18,000.00 |
| Mar 31, 2021 | 2.65 Mn |
| Dec 31, 2020 | 2.63 Mn |
| Sep 30, 2020 | 969,000.00 |
Barinthus Biotherapeutics 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=BRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BRNS", "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=BRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();