Park Aerospace (PKE) Return on Capital Employed [ROCE] (2011 - 2026)
Park Aerospace (PKE) reported Return on Capital Employed [ROCE] of 11.09% for fiscal Q1 2027 (quarter ended May 31, 2026), up 2.34 percentage points from 8.75% a year earlier and up 0.22 percentage points from the prior quarter.
Park Aerospace (PKE) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 1, 2026), Park Aerospace posted Return on Capital Employed [ROCE] of 10.70%, up 2.73 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of +7.25 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 7.97% in FY2025 (+1.81 pp), 6.15% in FY2024 (-1.41 pp), 7.57% in FY2023 (+0.25 pp) and 7.32% in FY2022 (+3.87 pp).
- The fiscal Q1 2027 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q3 2012.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last seven quarters, with an average year-over-year change of +1.67 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q4 2022 (a gain of 3.83 percentage points); the low point was fiscal Q4 2024 (a drop of 0.69 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 10.87% (Q4 2026), 10.51% (Q3 2026) and 8.75% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 13.38% |
| 10 | Park Aerospace | 660.58 Mn | 356.70 Mn | 6.38 Mn | 11.09% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 11.09% |
| Mar 1, 2026 | 10.87% |
| Nov 30, 2025 | 10.51% |
| Aug 31, 2025 | 8.75% |
| Jun 1, 2025 | 8.75% |
| Mar 2, 2025 | 8.25% |
| Dec 1, 2024 | 8.11% |
| Sep 1, 2024 | 7.38% |
| Jun 2, 2024 | 6.71% |
| Mar 3, 2024 | 6.97% |
| Nov 26, 2023 | 6.60% |
| Aug 27, 2023 | 7.59% |
| May 28, 2023 | 7.01% |
| Feb 26, 2023 | 7.66% |
| Nov 27, 2022 | 6.82% |
| Aug 28, 2022 | 6.32% |
| May 29, 2022 | 6.55% |
| Feb 27, 2022 | 7.36% |
| Nov 28, 2021 | 6.52% |
| Aug 29, 2021 | 5.69% |
Park Aerospace Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();