Pliant Therapeutics (PLRX) Revenue (2020 - 2023)
Pliant Therapeutics' Revenue came in at $1.58 million for FY2023, down 83.7% from $9.69 million in FY2022.
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Analysis
Pliant Therapeutics (PLRX) Revenue (2020 - 2023) Analysis & Trends
Going back to FY2019, Pliant Therapeutics' Revenue data covers 5 years.
- Revenue carries a four-year compound annual growth rate of -59.2% (FY2019 to FY2023).
- The FY2023 figure represents the lowest annual Revenue in data going back to FY2019.
- Per Business Quant, earlier years put Revenue at $9.69 million in FY2022 (+27.9%), $7.57 million in FY2021 (-81.9%), $41.82 million in FY2020 (-26.7%) and $57.05 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 25.31 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Pliant Therapeutics | 56.49 Mn | -705.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 248,000.00 |
| Mar 31, 2023 | 1.33 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 4.99 Mn |
| Mar 31, 2022 | 1.25 Mn |
| Dec 31, 2021 | 2.00 Mn |
| Sep 30, 2021 | 1.61 Mn |
| Jun 30, 2021 | 1.79 Mn |
| Mar 31, 2021 | 2.17 Mn |
| Dec 31, 2020 | 4.42 Mn |
| Sep 30, 2020 | 4.81 Mn |
| Jun 30, 2020 | 3.60 Mn |
| Mar 31, 2020 | 28.94 Mn |
API Access
Pliant Therapeutics 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=revenue&ticker=PLRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "PLRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=PLRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();