Spero Therapeutics (SPRO) Return on Sales [ROS] (2017 - 2026)
Spero Therapeutics (SPRO) posted Return on Sales [ROS] of 12.82% for Q2 2026, up 30.04 percentage points from -17.22% a year earlier and up 2934.53 percentage points from the prior quarter.
Spero Therapeutics (SPRO) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
For FY2025, Spero Therapeutics' Return on Sales [ROS] came in at 9.45%, up 162.36 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +857.39 percentage points (FY2020 to FY2025).
- In prior years, Spero Therapeutics' Return on Sales [ROS] was -152.91% in FY2024 (-173.61 pp), 20.70% in FY2023 (+99.56 pp), -78.86% in FY2022 (+403.01 pp) and -481.87% in FY2021 (+366.07 pp).
- Quarterly Return on Sales [ROS] has run from a low of -2921.71% in Q1 2026 to a high of 76.05% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -337.70 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2022, with a gain of 1056.90 percentage points; the weakest was Q1 2026, with a drop of 2670.92 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -2921.71% (Q1 2026), 76.05% (Q4 2025) and -145.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 28.37% |
| 10 | Spero Therapeutics | 65.71 Mn | -130.08 Mn | - | 12.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.82% |
| Mar 31, 2026 | -2,921.71% |
| Dec 31, 2025 | 76.05% |
| Sep 30, 2025 | -145.46% |
| Jun 30, 2025 | -17.22% |
| Mar 31, 2025 | -250.78% |
| Dec 31, 2024 | -144.41% |
| Sep 30, 2024 | -138.04% |
| Jun 30, 2024 | -186.93% |
| Mar 31, 2024 | -150.88% |
| Dec 31, 2023 | 68.73% |
| Sep 30, 2023 | -7.59% |
| Jun 30, 2023 | -474.59% |
| Mar 31, 2023 | -687.63% |
| Dec 31, 2022 | 54.64% |
| Sep 30, 2022 | -589.93% |
| Jun 30, 2022 | -1,308.58% |
| Mar 31, 2022 | -1,459.98% |
| Dec 31, 2021 | -1,002.26% |
| Sep 30, 2021 | -735.12% |
Spero 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=SPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SPRO", "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=SPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();