Air Products & Chemicals (APD) Change in Inventory (2009 - 2026)
Air Products & Chemicals (APD) posted Change in Inventory of -$14.9 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $11.2 million a year earlier.
Air Products & Chemicals (APD) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Air Products & Chemicals was -$19.7 million; for FY2025 (ended Sep 30, 2025), it came in at $35.8 million, down 74.0% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 47.1% (FY2020 to FY2025).
- In prior fiscal years, Air Products & Chemicals' Change in Inventory was $137.8 million in FY2024 (+6.5%), $129.4 million in FY2023 (+37.2%), $94.3 million in FY2022 (+99.8%) and $47.2 million in FY2021 (+807.7%).
- Quarterly Change in Inventory has run from a low of -$16 million in fiscal Q2 2026 to a high of $102.8 million in fiscal Q1 2023 over five years.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q1 2022, with growth of 240.4%; the weakest was fiscal Q4 2025, with a decline of 99.3%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was -$16 million (Q2 2026), $11 million (Q1 2026) and $200,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 41.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 145.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | -14.90 Mn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | -788.00 Mn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 425.00 Mn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | - |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 87.00 Mn |
| 10 | Ppg Industries | 23.77 Bn | 16.57 Bn | 1.81 Bn | 33.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.90 Mn |
| Mar 31, 2026 | -16.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | 11.20 Mn |
| Mar 31, 2025 | 30.80 Mn |
| Dec 31, 2024 | -6.40 Mn |
| Sep 30, 2024 | 26.80 Mn |
| Jun 30, 2024 | 38.30 Mn |
| Mar 31, 2024 | 24.10 Mn |
| Dec 31, 2023 | 48.60 Mn |
| Sep 30, 2023 | -4.10 Mn |
| Jun 30, 2023 | 21.20 Mn |
| Mar 31, 2023 | 9.50 Mn |
| Dec 31, 2022 | 102.80 Mn |
| Sep 30, 2022 | 13.50 Mn |
| Jun 30, 2022 | 23.50 Mn |
| Mar 31, 2022 | 23.60 Mn |
| Dec 31, 2021 | 33.70 Mn |
| Sep 30, 2021 | 10.80 Mn |
Air Products & Chemicals Change in Inventory 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=change-in-inventory&ticker=APD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "APD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=APD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();