Palvella Therapeutics (PVLA) Return on Sales [ROS] (2014 - 2024)
Palvella Therapeutics (PVLA) recorded Return on Sales [ROS] of 270.49% in Q3 2024, up 330.97 percentage points from -60.49% a year earlier and up 285.28 percentage points from the prior quarter.
Palvella Therapeutics (PVLA) Return on Sales [ROS] (2014 - 2024) Analysis & Trends
For FY2023, Palvella Therapeutics reported Return on Sales [ROS] of -27.72%, up 140.12 percentage points from FY2022.
- Annual Return on Sales [ROS] has a five-year change of +78.22 percentage points (FY2018 to FY2023).
- Across earlier years, Return on Sales [ROS] came in at -167.84% in FY2022 (-2.87 pp), -164.97% in FY2021 (-49.29 pp), -115.68% in FY2020 (-57.00 pp) and -58.68% in FY2019 (+47.26 pp).
- Quarterly Return on Sales [ROS] has ranged from -3318.87% in Q1 2024 to 1030.48% in Q4 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -159.46 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1227.53 percentage points in Q4 2023, against a drop of 2547.18 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -14.79% (Q2 2024), -3318.87% (Q1 2024) and 1030.48% (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Palvella Therapeutics | 1.91 Bn | 1.66 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 270.49% |
| Jun 30, 2024 | -14.79% |
| Mar 31, 2024 | -3,318.87% |
| Dec 31, 2023 | 1,030.48% |
| Sep 30, 2023 | -60.49% |
| Jun 30, 2023 | 10.27% |
| Mar 31, 2023 | -771.69% |
| Dec 31, 2022 | -197.04% |
| Sep 30, 2022 | -226.59% |
| Jun 30, 2022 | -333.42% |
| Mar 31, 2022 | -66.70% |
| Dec 31, 2021 | -130.27% |
| Sep 30, 2021 | -468.62% |
| Jun 30, 2021 | -510.23% |
| Dec 31, 2020 | -661.21% |
| Sep 30, 2020 | -442.29% |
| Jun 30, 2020 | -41.39% |
| Mar 31, 2020 | -29.08% |
| Dec 31, 2019 | -7.70% |
| Sep 30, 2019 | -19.26% |
Palvella Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PVLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PVLA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=PVLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();