Park Aerospace (PKE) Return on Sales [ROS] (2010 - 2026)
Park Aerospace's Return on Sales [ROS] was 22.76% in fiscal Q2 2027 (quarter ended Aug 30, 2026), up 5.39 percentage points from 17.37% a year earlier and up 0.83 percentage points from the prior quarter.
Park Aerospace (PKE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Park Aerospace's Return on Sales [ROS] was 21.06% through Aug 30, 2026, up 5.29 percentage points year-over-year; for FY2026 (ended Mar 1, 2026), it came in at 18.42%, up 3.27 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +6.51 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 15.15% in FY2025 (+0.19 pp), 14.96% in FY2024 (-3.45 pp), 18.41% in FY2023 (-2.88 pp) and 21.29% in FY2022 (+9.39 pp).
- The fiscal Q2 2027 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q1 2022.
- Compared with a year earlier, Return on Sales [ROS] has increased for eight straight quarters, with an average year-over-year change of +3.33 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2022 (a gain of 11.50 percentage points); the worst was fiscal Q3 2024 (a drop of 9.34 percentage points).
- Per Business Quant data, PKE's Return on Sales [ROS] in the three fiscal quarters before Q2 2027 was 21.93% (Q1 2027), 18.99% (Q4 2026) and 21.02% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 6.93% |
| 10 | Park Aerospace | 565.76 Mn | 208.68 Mn | 7.14 Mn | 22.76% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 22.76% |
| May 31, 2026 | 21.93% |
| Mar 1, 2026 | 18.99% |
| Nov 30, 2025 | 21.02% |
| Aug 31, 2025 | 17.37% |
| Jun 1, 2025 | 15.71% |
| Mar 2, 2025 | 16.83% |
| Dec 1, 2024 | 12.81% |
| Sep 1, 2024 | 15.66% |
| Jun 2, 2024 | 14.90% |
| Mar 3, 2024 | 15.74% |
| Nov 26, 2023 | 11.73% |
| Aug 27, 2023 | 17.84% |
| May 28, 2023 | 14.26% |
| Feb 26, 2023 | 16.41% |
| Nov 27, 2022 | 21.06% |
| Aug 28, 2022 | 16.97% |
| May 29, 2022 | 19.24% |
| Feb 27, 2022 | 20.92% |
| Nov 28, 2021 | 16.08% |
Park Aerospace 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=PKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PKE", "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=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();