Roivant Sciences (ROIV) Accumulated Expenses (2021 - 2026)
Roivant Sciences' Accumulated Expenses came in at $168.74 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 90.2% from $88.73 million a year earlier but down 18.0% from the prior quarter.
Roivant Sciences (ROIV) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Roivant Sciences' Accumulated Expenses was $205.82 million, up 80.1% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 21.8% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $114.29 million in FY2025 (-4.3%), $119.42 million in FY2024 (-28.5%), $167.13 million in FY2023 (+31.0%) and $127.53 million in FY2022 (+65.8%).
- The five-year range for quarterly Accumulated Expenses is $88.73 million (fiscal Q1 2026) to $205.82 million (fiscal Q4 2026).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2027 (growth of 90.2%), and the weakest in fiscal Q1 2026 (a decline of 35.8%).
- Business Quant data shows ROIV's Accumulated Expenses at $205.82 million (Q4 2026), $117.99 million (Q3 2026) and $108.32 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Roivant Sciences | 26.43 Bn | 27.12 Bn | 1.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.74 Mn |
| Mar 31, 2026 | 205.82 Mn |
| Dec 31, 2025 | 117.99 Mn |
| Sep 30, 2025 | 108.32 Mn |
| Jun 30, 2025 | 88.73 Mn |
| Mar 31, 2025 | 114.29 Mn |
| Dec 31, 2024 | 104.32 Mn |
| Sep 30, 2024 | 111.47 Mn |
| Jun 30, 2024 | 138.29 Mn |
| Mar 31, 2024 | 119.42 Mn |
| Dec 31, 2023 | 122.15 Mn |
| Sep 30, 2023 | 152.92 Mn |
| Jun 30, 2023 | 119.33 Mn |
| Mar 31, 2023 | 167.13 Mn |
| Dec 31, 2022 | 132.36 Mn |
| Sep 30, 2022 | 128.82 Mn |
| Jun 30, 2022 | 109.35 Mn |
| Mar 31, 2022 | 127.53 Mn |
| Dec 31, 2021 | 112.68 Mn |
| Sep 30, 2021 | 104.11 Mn |
Roivant Sciences Accumulated 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=accumulated-expenses&ticker=ROIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ROIV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ROIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();