Mannkind (MNKD) Return on Sales [ROS] (2010 - 2026)
Mannkind (MNKD) posted Return on Sales [ROS] of -0.32% for Q2 2026, down 7.24 percentage points from 6.92% a year earlier but up 1.53 percentage points from the prior quarter.
Mannkind (MNKD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Mannkind was 2.34%, down 19.82 percentage points year-over-year; for FY2025, it came in at 11.12%, down 14.31 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +84.67 percentage points (FY2020 to FY2025).
- In prior years, Mannkind's Return on Sales [ROS] was 25.42% in FY2024 (+21.06 pp), 4.36% in FY2023 (+68.62 pp), -64.26% in FY2022 (-1.93 pp) and -62.33% in FY2021 (+11.22 pp).
- Quarterly Return on Sales [ROS] has run from a low of -191.51% in Q4 2021 to a high of 34.51% in Q4 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -7.20 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 162.49 percentage points; the weakest was Q1 2022, with a drop of 141.74 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -1.85% (Q1 2026), -6.87% (Q4 2025) and 23.01% (Q3 2025).
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 | Mannkind | 1.18 Bn | 498.31 Mn | 94.97 Mn | -0.32% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.32% |
| Mar 31, 2026 | -1.85% |
| Dec 31, 2025 | -6.87% |
| Sep 30, 2025 | 23.01% |
| Jun 30, 2025 | 6.92% |
| Mar 31, 2025 | 28.45% |
| Dec 31, 2024 | 34.51% |
| Sep 30, 2024 | 18.21% |
| Jun 30, 2024 | 22.95% |
| Mar 31, 2024 | 25.24% |
| Dec 31, 2023 | 13.44% |
| Sep 30, 2023 | 9.94% |
| Jun 30, 2023 | 3.54% |
| Mar 31, 2023 | -14.76% |
| Dec 31, 2022 | -35.47% |
| Sep 30, 2022 | -29.28% |
| Jun 30, 2022 | -108.26% |
| Mar 31, 2022 | -177.25% |
| Dec 31, 2021 | -191.51% |
| Sep 30, 2021 | -29.67% |
Mannkind 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=MNKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MNKD", "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=MNKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();