Park Aerospace (PKE) Depreciation and Depletion (2017 - 2018)
Park Aerospace's Depreciation and Depletion came in at $1.86 million for FY2026 (year ended Mar 1, 2026), up 0.5% from $1.85 million in FY2025.
Powered by 
Analysis
Park Aerospace (PKE) Depreciation and Depletion (2017 - 2018) Analysis & Trends
Going back to FY2016, Park Aerospace's Depreciation and Depletion data covers 9 fiscal years.
- Depreciation and Depletion has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 10.1% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Depreciation and Depletion in data going back to FY2016.
- Per Business Quant, earlier fiscal years put Depreciation and Depletion at $1.85 million in FY2025 (+32.6%), $1.4 million in FY2024 (+23.6%), $1.13 million in FY2023 (-0.6%) and $1.14 million in FY2022 (-1.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 233.92 Bn | 215.50 Bn | 4.43 Bn | - |
| 2 | Corning | 108.08 Bn | 100.64 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 82.23 Bn | 81.28 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 67.91 Bn | 63.10 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 42.00 Bn | 31.51 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.60 Bn | 30.43 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 24.38 Bn | 17.03 Bn | 1.81 Bn | 108.00 Mn |
| 8 | International Flavors & Fragrances | 23.68 Bn | 21.34 Bn | 853.00 Mn | 72.00 Mn |
| 9 | Dow | 22.84 Bn | 6.34 Bn | 2.17 Bn | 505.00 Mn |
| 10 | Park Aerospace | 548.98 Mn | 191.89 Mn | 7.14 Mn | - |
API Access
Park Aerospace Depreciation and Depletion 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=depreciation-and-depletion&ticker=PKE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();