Moderna (MRNA) EV to CFO (2020 - 2023)
Moderna's (MRNA) EV to CFO came in at 50.40 for Q1 2023, compared with 4.38 a year earlier and up 323.7% from the prior quarter.
Moderna (MRNA) EV to CFO (2020 - 2023) Analysis & Trends
For the trailing twelve months through Mar 31, 2023, EV to CFO at Moderna was 24.07, up 936.0% year-over-year; for FY2022, it was 11.90, up 76.8% from FY2021.
- In prior years, Moderna's EV to CFO was 6.73 in FY2021 (-63.2%) and 18.29 in FY2020.
- The Q1 2023 figure stands as the highest quarterly EV to CFO in data going back to Q3 2020.
- On a year-over-year basis, EV to CFO increased in 1 of the last six quarters, with an average decline of 34.2%.
- According to Business Quant data, EV to CFO for the three prior quarters was 11.90 (Q4 2022), 5.64 (Q3 2022) and 4.98 (Q2 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn |
| 10 | Moderna | 100.92 Bn | 80.27 Bn | 52.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 50.40 |
| Dec 31, 2022 | 11.90 |
| Sep 30, 2022 | 5.64 |
| Jun 30, 2022 | 4.98 |
| Mar 31, 2022 | 4.38 |
| Dec 31, 2021 | 6.73 |
| Sep 30, 2021 | 12.70 |
| Jun 30, 2021 | 9.43 |
| Mar 31, 2021 | 8.77 |
| Dec 31, 2020 | 18.29 |
| Sep 30, 2020 | 37.20 |
Moderna EV to CFO 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=ev-to-cfo&ticker=MRNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "MRNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=MRNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();