Cardiff Oncology (CRDF) Return on Sales [ROS] (2011 - 2026)
Cardiff Oncology (CRDF) reported Return on Sales [ROS] of -9245.19% for Q2 2026, up 2967.20 percentage points from -12212.40% a year earlier.
Cardiff Oncology (CRDF) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cardiff Oncology's Return on Sales [ROS] came in at -7515.82%, up 2435.10 percentage points year-over-year; for FY2025, it was -8256.32%, down 1133.19 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3041.57 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -7123.13% in FY2024 (+2182.60 pp), -9305.74% in FY2023 (+1031.57 pp), -10337.31% in FY2022 (-2299.70 pp) and -8037.60% in FY2021 (-2822.85 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -14964.86% in Q1 2022 and a high of -3220.99% in Q4 2025.
- Year over year, Return on Sales [ROS] gained in three of the last seven quarters, with an average year-over-year change of -1187.53 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 9187.31 percentage points); the low point was Q1 2025 (a drop of 7861.32 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Cardiff Oncology | 62.34 Mn | 27.84 Mn | - | -9,245.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9,245.19% |
| Dec 31, 2025 | -3,220.99% |
| Sep 30, 2025 | -9,978.33% |
| Jun 30, 2025 | -12,212.40% |
| Mar 31, 2025 | -13,194.50% |
| Dec 31, 2024 | -8,325.83% |
| Sep 30, 2024 | -7,636.97% |
| Jun 30, 2024 | -7,696.32% |
| Mar 31, 2024 | -5,333.17% |
| Dec 31, 2023 | -6,623.08% |
| Sep 30, 2023 | -7,673.76% |
| Jun 30, 2023 | -11,303.70% |
| Mar 31, 2023 | -14,520.48% |
| Dec 31, 2022 | -7,337.50% |
| Sep 30, 2022 | -9,669.89% |
| Jun 30, 2022 | -11,475.82% |
| Mar 31, 2022 | -14,964.86% |
| Dec 31, 2021 | -7,162.41% |
| Sep 30, 2021 | -8,137.21% |
| Jun 30, 2021 | -10,130.88% |
Cardiff Oncology 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=CRDF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CRDF", "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=CRDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();