Atea Pharmaceuticals (AVIR) Capital Expenditures (2020 - 2022)
Atea Pharmaceuticals' Capital Expenditures was $1.94 million in FY2022, compared with $4,000 in FY2021.
Powered by 
Analysis
Atea Pharmaceuticals (AVIR) Capital Expenditures (2020 - 2022) Analysis & Trends
From FY2018 onward, Atea Pharmaceuticals has reported Capital Expenditures for 5 years.
- Capital Expenditures shows a four-year compound annual growth rate of 256.7% (FY2018 to FY2022).
- The FY2022 figure marks the highest annual Capital Expenditures in data going back to FY2018.
- Per Business Quant data, Capital Expenditures in earlier years was $4,000 in FY2021 (-84.6%), $26,000 in FY2020, $2,000 in FY2019 (-83.3%) and $12,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.24 Bn | 1,102.83 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 616.11 Bn | 534.64 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 501.21 Bn | 474.32 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 367.51 Bn | 321.89 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 297.95 Bn | 261.94 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.35 Bn | 235.03 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 235.88 Bn | 191.28 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 190.74 Bn | 164.94 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 169.40 Bn | 116.05 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Atea Pharmaceuticals | 341.82 Mn | -764.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 20,000.00 |
| Jun 30, 2022 | 1.88 Mn |
| Mar 31, 2022 | 44,000.00 |
| Dec 31, 2020 | 5,000.00 |
| Sep 30, 2020 | 15,000.00 |
API Access
Atea Pharmaceuticals Capital Expenditures 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=capital-expenditures&ticker=AVIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "AVIR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=AVIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();