Viatris (VTRS) Research & Development (2020 - 2026)
Viatris (VTRS) recorded Research & Development of $248.3 million in Q2 2026, up 13.5% from $218.8 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Viatris (VTRS) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Viatris' Research & Development came in at $1.02 billion as of Jun 30, 2026, up 20.8% year-over-year; for FY2025, it came in at $965.9 million, up 19.4% from FY2024.
- Annual Research & Development has increased for three straight years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $808.7 million in FY2024 (+0.4%), $805.2 million in FY2023 (+21.6%), $662.2 million in FY2022 (-2.8%) and $681 million in FY2021 (+32.9%).
- Quarterly Research & Development has ranged from $142.3 million in Q1 2022 to $274.7 million in Q4 2025 over the past five years.
- On a year-over-year basis, Research & Development has increased for seven consecutive quarters, with growth averaging 12.4% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 75.5% in Q4 2021, against a decline of 22.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $248.6 million (Q1 2026), $274.7 million (Q4 2025) and $250.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Viatris | 20.35 Bn | 15.36 Bn | 1.46 Bn | 248.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.30 Mn |
| Mar 31, 2026 | 248.60 Mn |
| Dec 31, 2025 | 274.70 Mn |
| Sep 30, 2025 | 250.40 Mn |
| Jun 30, 2025 | 218.80 Mn |
| Mar 31, 2025 | 222.00 Mn |
| Dec 31, 2024 | 206.50 Mn |
| Sep 30, 2024 | 198.40 Mn |
| Jun 30, 2024 | 204.10 Mn |
| Mar 31, 2024 | 199.70 Mn |
| Dec 31, 2023 | 202.80 Mn |
| Sep 30, 2023 | 211.20 Mn |
| Jun 30, 2023 | 208.30 Mn |
| Mar 31, 2023 | 182.90 Mn |
| Dec 31, 2022 | 182.40 Mn |
| Sep 30, 2022 | 174.90 Mn |
| Jun 30, 2022 | 162.60 Mn |
| Mar 31, 2022 | 142.30 Mn |
| Dec 31, 2021 | 197.10 Mn |
| Sep 30, 2021 | 152.10 Mn |
API Access
Viatris Research & Development 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=research-and-development&ticker=VTRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "VTRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=VTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();