iBio (IBIO) Return on Sales [ROS] (2011 - 2026)
iBio (IBIO) reported Return on Sales [ROS] of -35141.00% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 32542.00 percentage points from -2599.00% a year earlier and down 25488.00 percentage points from the prior quarter.
iBio (IBIO) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Dating back to fiscal Q3 2011, iBio's Return on Sales [ROS] record includes 60 quarters.
- Return on Sales [ROS] has a five-year change of -33828.85 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -4650.50% in FY2025 (+2742.39 pp), -7392.89% in FY2024 and -1576.27% in FY2022 (-264.13 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since fiscal Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of +3845.50 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2025 (a gain of 39256.50 percentage points); the low point was fiscal Q2 2024 (a drop of 39496.56 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -9653.00% (Q3 2026), -8491.00% (Q2 2026) and -5951.00% (Q1 2026).
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 | iBio | 116.55 Mn | 116.55 Mn | - | -35,141.00% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -35,141.00% |
| Mar 31, 2026 | -9,653.00% |
| Dec 31, 2025 | -8,491.00% |
| Sep 30, 2025 | -5,951.00% |
| Jun 30, 2025 | -2,599.00% |
| Mar 31, 2025 | -4,483.47% |
| Dec 31, 2024 | -2,209.50% |
| Sep 30, 2024 | -8,935.43% |
| Jun 30, 2024 | -1,948.00% |
| Mar 31, 2024 | -36,380.00% |
| Dec 31, 2023 | -41,466.00% |
| Sep 30, 2023 | -10,206.00% |
| Dec 31, 2022 | -1,969.44% |
| Sep 30, 2022 | -1,783.78% |
| Jun 30, 2022 | -1,576.27% |
| Mar 31, 2022 | -377.11% |
| Dec 31, 2021 | -2,171.49% |
| Sep 30, 2021 | -6,220.24% |
| Jun 30, 2021 | -1,922.40% |
| Mar 31, 2021 | -941.57% |
iBio 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=IBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IBIO", "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=IBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();