Park Aerospace (PKE) Total Non-Current Liabilities (2011 - 2026)
Park Aerospace (PKE) reported Total Non-Current Liabilities of $13.32 million for fiscal Q1 2027 (quarter ended May 31, 2026), down 15.1% from $15.7 million a year earlier but up 8.8% from the prior quarter.
Park Aerospace (PKE) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 1, 2026), Park Aerospace posted Total Non-Current Liabilities of $12.24 million, down 17.8% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $14.88 million in FY2025 (+5.3%), $14.14 million in FY2024 (-56.5%), $32.46 million in FY2023 (+156.9%) and $12.63 million in FY2022 (-4.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $10.26 million in fiscal Q3 2024 and a high of $32.46 million in fiscal Q4 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last four quarters, with growth averaging 3.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q4 2023 (growth of 156.9%); the low point was fiscal Q4 2024 (a decline of 56.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $12.24 million (Q4 2026), $11.43 million (Q3 2026) and $10.58 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 5.75 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 13.30 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Park Aerospace | 554.19 Mn | 197.11 Mn | 7.14 Mn | 12.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 12.31 Mn |
| May 31, 2026 | 13.32 Mn |
| Mar 1, 2026 | 12.24 Mn |
| Nov 30, 2025 | 11.43 Mn |
| Aug 31, 2025 | 10.58 Mn |
| Jun 1, 2025 | 15.70 Mn |
| Mar 2, 2025 | 14.88 Mn |
| Dec 1, 2024 | 15.62 Mn |
| Sep 1, 2024 | 13.64 Mn |
| Jun 2, 2024 | 11.28 Mn |
| Mar 3, 2024 | 12.96 Mn |
| Nov 26, 2023 | 8.42 Mn |
| Aug 27, 2023 | 8.84 Mn |
| May 28, 2023 | 11.91 Mn |
| Feb 26, 2023 | 30.71 Mn |
| Nov 27, 2022 | 8.43 Mn |
| Aug 28, 2022 | 9.33 Mn |
| May 29, 2022 | 9.25 Mn |
| Feb 27, 2022 | 8.14 Mn |
| Nov 28, 2021 | 7.82 Mn |
Park Aerospace Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();