Gsk (GSK) Non Operating Interest Expenses (2009 - 2026)
Gsk (GSK) reported Non Operating Interest Expenses of -$294.23 million for the quarter ended Sep 30, 2026, compared with -$225.34 million a year earlier.
Gsk (GSK) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Gsk's Non Operating Interest Expenses came in at -$1.7 billion; for the year ended Dec 31, 2025, it came in at $924.28 million, up 8.1% from the prior year.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -3.8% (years ended Dec 2020 to Dec 2025).
- By year, Non Operating Interest Expenses came in at $855.17 million in the year ended Dec 31, 2024 (-13.2%), $985.11 million in the year ended Dec 31, 2023 (-9.4%), $1.09 billion in the year ended Dec 31, 2022 (+2.8%) and $1.06 billion in the year ended Dec 31, 2021 (-5.7%).
- Five-year quarterly Non Operating Interest Expenses spans a low of -$1.03 billion in the quarter ended Dec 31, 2022 and a high of -$202.69 million in the quarter ended Sep 30, 2024.
- Per Business Quant data, the three quarters before the quarter ended Sep 30, 2026 came in at -$244.19 million (quarter ended Jun 30, 2026), -$225.15 million (quarter ended Mar 31, 2026) and -$932.45 million (quarter ended Dec 31, 2025).
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 | Gsk | 102.08 Bn | 84.92 Bn | 8.73 Bn | -294.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -294.23 Mn |
| Jun 30, 2026 | -244.19 Mn |
| Mar 31, 2026 | -225.15 Mn |
| Dec 31, 2025 | -932.45 Mn |
| Sep 30, 2025 | -225.34 Mn |
| Jun 30, 2025 | -245.46 Mn |
| Mar 31, 2025 | -204.04 Mn |
| Dec 31, 2024 | -858.66 Mn |
| Sep 30, 2024 | -202.69 Mn |
| Jun 30, 2024 | -219.63 Mn |
| Mar 31, 2024 | -210.57 Mn |
| Dec 31, 2023 | -982.99 Mn |
| Sep 30, 2023 | -230.54 Mn |
| Jun 30, 2023 | -231.50 Mn |
| Mar 31, 2023 | -246.75 Mn |
| Dec 31, 2022 | -1.03 Bn |
| Sep 30, 2022 | -235.71 Mn |
| Jun 30, 2022 | -256.90 Mn |
| Mar 31, 2022 | -275.08 Mn |
| Dec 31, 2021 | -253.43 Mn |
Gsk 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=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GSK", "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=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();