Processa Pharmaceuticals (PCSA) Return on Assets [ROA] (2013 - 2026)
Processa Pharmaceuticals (PCSA) reported Return on Assets [ROA] of -391.59% for Q2 2026, down 196.59 percentage points from -195.00% a year earlier and down 156.18 percentage points from the prior quarter.
Processa Pharmaceuticals (PCSA) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2025, Processa Pharmaceuticals posted Return on Assets [ROA] of -245.66%, up 17.21 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of -165.80 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -262.87% in FY2024 (-108.47 pp), -154.40% in FY2023 (+1.94 pp), -156.34% in FY2022 (-112.11 pp) and -44.23% in FY2021 (+35.63 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since Q3 2017.
- Year over year, Return on Assets [ROA] gained in four of the last eight quarters, with an average year-over-year change of -40.69 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was Q1 2024 (a gain of 141.05 percentage points); the low point was Q1 2023 (a drop of 218.62 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -235.42% (Q1 2026), -181.53% (Q4 2025) and -162.00% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | Processa Pharmaceuticals | 4.58 Mn | 4.58 Mn | - | -391.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -391.59% |
| Mar 31, 2026 | -235.42% |
| Dec 31, 2025 | -181.53% |
| Sep 30, 2025 | -162.00% |
| Jun 30, 2025 | -195.00% |
| Mar 31, 2025 | -291.73% |
| Dec 31, 2024 | -288.43% |
| Sep 30, 2024 | -186.44% |
| Jun 30, 2024 | -118.43% |
| Mar 31, 2024 | -127.04% |
| Dec 31, 2023 | -160.38% |
| Sep 30, 2023 | -239.13% |
| Jun 30, 2023 | -227.92% |
| Mar 31, 2023 | -268.09% |
| Dec 31, 2022 | -201.47% |
| Sep 30, 2022 | -87.41% |
| Jun 30, 2022 | -63.37% |
| Mar 31, 2022 | -49.46% |
| Dec 31, 2021 | -41.19% |
| Sep 30, 2021 | -59.77% |
Processa Pharmaceuticals Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PCSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "PCSA", "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-assets-%5Broa%5D&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();