Shattuck Labs (STTK) Return on Sales [ROS] (2019 - 2026)
Shattuck Labs (STTK) reported Return on Sales [ROS] of -5578.70% for Q2 2026, down 3410.47 percentage points from -2168.23% a year earlier and down 312.30 percentage points from the prior quarter.
Shattuck Labs (STTK) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For FY2025, Shattuck Labs posted Return on Sales [ROS] of -5150.80%, down 3742.53 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -4779.04 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -1408.27% in FY2024 (+4141.34 pp), -5549.61% in FY2023 (+10298.40 pp), -15848.01% in FY2022 (-15697.19 pp) and -150.81% in FY2021 (+220.95 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -877.47 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 43942.50 percentage points); the low point was Q2 2022 (a drop of 54736.66 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -5266.40% (Q1 2026), -5150.80% (Q4 2025) and -1071.60% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Shattuck Labs | 888.64 Mn | 315.54 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,578.70% |
| Mar 31, 2026 | -5,266.40% |
| Dec 31, 2025 | -5,150.80% |
| Sep 30, 2025 | -1,071.60% |
| Jun 30, 2025 | -2,168.23% |
| Mar 31, 2025 | -1,626.40% |
| Dec 31, 2024 | -1,408.27% |
| Sep 30, 2024 | -597.93% |
| Jun 30, 2024 | -1,427.10% |
| Mar 31, 2024 | -1,797.67% |
| Dec 31, 2023 | -2,654.20% |
| Sep 30, 2023 | -4,168.80% |
| Jun 30, 2023 | -11,373.50% |
| Mar 31, 2023 | -38,001.75% |
| Dec 31, 2022 | -6,737.44% |
| Sep 30, 2022 | -11,900.47% |
| Jun 30, 2022 | -55,316.00% |
| Mar 31, 2022 | -157.98% |
| Dec 31, 2021 | 30.87% |
| Sep 30, 2021 | -925.26% |
Shattuck Labs 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=STTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STTK", "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=STTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();