Park Aerospace (PKE) Non-Current Assets (2011 - 2026)
Park Aerospace's Non-Current Assets came in at $35.3 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 5.7% from $33.39 million a year earlier and up 5.2% from the prior quarter.
Park Aerospace (PKE) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 1, 2026), Park Aerospace's Non-Current Assets was $33.56 million, up 5.5% from FY2025.
- Non-Current Assets carries a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $31.81 million in FY2025 (-4.9%), $33.46 million in FY2024 (-2.4%), $34.29 million in FY2023 (-0.5%) and $34.45 million in FY2022 (+10.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Non-Current Assets since fiscal Q3 2018.
- Year-over-year, Non-Current Assets has increased for five consecutive quarters, with growth averaging 0.9% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q2 2022 (growth of 11.2%), and the weakest in fiscal Q3 2025 (a decline of 6.2%).
- Business Quant data shows PKE's Non-Current Assets at $33.56 million (Q4 2026), $33.48 million (Q3 2026) and $33.14 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 230.94 Bn | 212.51 Bn | 4.43 Bn | 74.17 Bn |
| 2 | Corning | 116.37 Bn | 108.94 Bn | 1.63 Bn | 22.04 Bn |
| 3 | Sherwin Williams | 82.13 Bn | 81.17 Bn | 3.34 Bn | 19.95 Bn |
| 4 | Air Products & Chemicals | 67.18 Bn | 62.37 Bn | 1.04 Bn | 35.48 Bn |
| 5 | LyondellBasell Industries | 40.49 Bn | 30.00 Bn | 2.04 Bn | 22.82 Bn |
| 6 | Nutrien | 32.85 Bn | 29.68 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.25 Bn | 22.39 Bn | 666.00 Mn | 11.44 Bn |
| 8 | Ati | 24.82 Bn | 22.84 Bn | 309.80 Mn | 2.46 Bn |
| 9 | Ppg Industries | 24.37 Bn | 17.03 Bn | 1.81 Bn | 14.27 Bn |
| 10 | Park Aerospace | 538.97 Mn | 235.08 Mn | 6.38 Mn | 35.30 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 35.30 Mn |
| Mar 1, 2026 | 33.56 Mn |
| Nov 30, 2025 | 33.48 Mn |
| Aug 31, 2025 | 33.14 Mn |
| Jun 1, 2025 | 33.39 Mn |
| Mar 2, 2025 | 31.81 Mn |
| Dec 1, 2024 | 31.66 Mn |
| Sep 1, 2024 | 32.09 Mn |
| Jun 2, 2024 | 32.13 Mn |
| Mar 3, 2024 | 33.46 Mn |
| Nov 26, 2023 | 33.74 Mn |
| Aug 27, 2023 | 33.99 Mn |
| May 28, 2023 | 34.14 Mn |
| Feb 26, 2023 | 34.29 Mn |
| Nov 27, 2022 | 34.32 Mn |
| Aug 28, 2022 | 34.54 Mn |
| May 29, 2022 | 34.26 Mn |
| Feb 27, 2022 | 34.45 Mn |
| Nov 28, 2021 | 34.03 Mn |
| Aug 29, 2021 | 33.23 Mn |
Park Aerospace Non-Current Assets 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=non-current-assets&ticker=PKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();