Novartis Ag (NVS) Cost of Revenue (2009 - 2026)
Novartis Ag's Cost of Revenue came in at $3.71 billion for Q2 2026, up 11.7% from $3.32 billion a year earlier and up 7.3% from the prior quarter.
Novartis Ag (NVS) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Novartis Ag reported Cost of Revenue of $14.32 billion, up 9.2% year-over-year; for FY2025, it was $13.7 billion, up 6.8% from FY2024.
- Cost of Revenue has increased in each of the last three years, though with a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $12.83 billion in FY2024 (+2.8%), $12.47 billion in FY2023 (+7.7%), $11.58 billion in FY2022 (-1.3%) and $11.74 billion in FY2021 (-22.4%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q2 2022.
- Year-over-year, Cost of Revenue has increased for eight consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2026 (growth of 11.7%), and the weakest in Q3 2022 (a decline of 27.0%).
- Business Quant data shows NVS's Cost of Revenue at $3.46 billion (Q1 2026), $3.61 billion (Q4 2025) and $3.54 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | 489.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.71 Bn |
| Mar 31, 2026 | 3.46 Bn |
| Dec 31, 2025 | 3.61 Bn |
| Sep 30, 2025 | 3.54 Bn |
| Jun 30, 2025 | 3.32 Bn |
| Mar 31, 2025 | 3.23 Bn |
| Dec 31, 2024 | 3.32 Bn |
| Sep 30, 2024 | 3.23 Bn |
| Jun 30, 2024 | 3.17 Bn |
| Mar 31, 2024 | 3.10 Bn |
| Dec 31, 2023 | 3.02 Bn |
| Sep 30, 2023 | 3.12 Bn |
| Jun 30, 2023 | 3.34 Bn |
| Mar 31, 2023 | 2.99 Bn |
| Dec 31, 2022 | 3.04 Bn |
| Sep 30, 2022 | 2.87 Bn |
| Jun 30, 2022 | 3.75 Bn |
| Mar 31, 2022 | 3.86 Bn |
| Dec 31, 2021 | 3.98 Bn |
| Sep 30, 2021 | 3.94 Bn |
Novartis Ag Cost of Revenue 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=cost-of-revenue&ticker=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "NVS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();