Park Aerospace (PKE) Tax Provisions (2010 - 2026)
Park Aerospace (PKE) reported Tax Provisions of $1.27 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 82.7% from $694,000 a year earlier and up 4.9% from the prior quarter.
Park Aerospace (PKE) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Park Aerospace's Tax Provisions came in at $4.35 million, up 10.2% year-over-year; for FY2026 (ended Mar 1, 2026), it was $3.77 million, up 4.0% from FY2025.
- Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $3.63 million in FY2025 (+84.9%), $1.96 million in FY2024 (+551.2%), $301,000 in FY2023 (-90.9%) and $3.32 million in FY2022 (+58.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Tax Provisions since fiscal Q4 2025.
- Year over year, Tax Provisions gained in seven of the last eight quarters, with growth averaging 127.8%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q4 2025 (growth of 743.5%); the low point was fiscal Q3 2024 (a decline of 57.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.21 million (Q4 2026), $1.04 million (Q3 2026) and $831,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 610.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 40.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 268.90 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | -515.40 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 408.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 236.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 382.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 63.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 38.60 Mn |
| 10 | Park Aerospace | 645.79 Mn | 341.91 Mn | 6.38 Mn | 1.27 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.27 Mn |
| Mar 1, 2026 | 1.21 Mn |
| Nov 30, 2025 | 1.04 Mn |
| Aug 31, 2025 | 831,000.00 |
| Jun 1, 2025 | 694,000.00 |
| Mar 2, 2025 | 1.94 Mn |
| Dec 1, 2024 | 559,000.00 |
| Sep 1, 2024 | 750,000.00 |
| Jun 2, 2024 | 376,000.00 |
| Mar 3, 2024 | 230,000.00 |
| Nov 26, 2023 | 423,000.00 |
| Aug 27, 2023 | 619,000.00 |
| May 28, 2023 | 688,000.00 |
| Feb 26, 2023 | -2.06 Mn |
| Nov 27, 2022 | 990,000.00 |
| Aug 28, 2022 | 690,000.00 |
| May 29, 2022 | 682,000.00 |
| Feb 27, 2022 | 749,000.00 |
| Nov 28, 2021 | 569,000.00 |
| Aug 29, 2021 | 820,000.00 |
Park Aerospace Tax Provisions 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=tax-provisions&ticker=PKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();