Park Aerospace (PKE) EBIT (2010 - 2026)
Park Aerospace (PKE) posted EBIT of $4.02 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 66.0% from $2.42 million a year earlier but down 12.6% from the prior quarter.
Park Aerospace (PKE) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EBIT at Park Aerospace was $15.1 million, up 55.1% year-over-year; for FY2026 (ended Mar 1, 2026), it came in at $13.5 million, up 43.7% from FY2025.
- Annual EBIT shows a five-year compound annual growth rate of 19.6% (FY2021 to FY2026).
- In prior fiscal years, Park Aerospace's EBIT was $9.4 million in FY2025 (+12.1%), $8.38 million in FY2024 (-15.8%), $9.95 million in FY2023 (-12.8%) and $11.41 million in FY2022 (+107.1%).
- Quarterly EBIT has run from a low of $1.37 million in fiscal Q3 2024 to a high of $4.59 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, EBIT has increased in each of the last eight quarters, with growth averaging 39.1% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q2 2022, with growth of 153.5%; the weakest was fiscal Q3 2024, with a decline of 53.3%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $4.59 million (Q4 2026), $3.64 million (Q3 2026) and $2.85 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 2.55 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 698.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 1.23 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | -2.10 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 2.06 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 1.54 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 3.08 Bn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 368.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 220.00 Mn |
| 10 | Park Aerospace | 643.62 Mn | 339.73 Mn | 6.38 Mn | 4.02 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.02 Mn |
| Mar 1, 2026 | 4.59 Mn |
| Nov 30, 2025 | 3.64 Mn |
| Aug 31, 2025 | 2.85 Mn |
| Jun 1, 2025 | 2.42 Mn |
| Mar 2, 2025 | 2.85 Mn |
| Dec 1, 2024 | 1.85 Mn |
| Sep 1, 2024 | 2.62 Mn |
| Jun 2, 2024 | 2.08 Mn |
| Mar 3, 2024 | 2.57 Mn |
| Nov 26, 2023 | 1.37 Mn |
| Aug 27, 2023 | 2.23 Mn |
| May 28, 2023 | 2.22 Mn |
| Feb 26, 2023 | 2.22 Mn |
| Nov 27, 2022 | 2.92 Mn |
| Aug 28, 2022 | 2.35 Mn |
| May 29, 2022 | 2.46 Mn |
| Feb 27, 2022 | 2.62 Mn |
| Nov 28, 2021 | 2.23 Mn |
| Aug 29, 2021 | 2.75 Mn |
Park Aerospace EBIT 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=ebit&ticker=PKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();