Air Products & Chemicals (APD) Tax Provisions (2009 - 2026)
Air Products & Chemicals' Tax Provisions was -$515.4 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $159.6 million a year earlier.
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Analysis
Air Products & Chemicals (APD) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Air Products & Chemicals' Tax Provisions was -$86.1 million through Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at -$94.3 million.
- In earlier fiscal years, Tax Provisions was $944.9 million in FY2024 (+71.4%), $551.2 million in FY2023 (+10.1%), $500.8 million in FY2022 (+8.2%) and $462.8 million in FY2021 (-3.3%).
- The fiscal Q3 2026 figure marks the lowest quarterly Tax Provisions in data going back to fiscal Q2 2009.
- Compared with a year earlier, Tax Provisions was higher in four of the last five quarters, with growth averaging 40.1%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q4 2024 (growth of 249.2%); the worst was fiscal Q4 2025 (a decline of 79.3%).
- Per Business Quant data, APD's Tax Provisions in the three fiscal quarters before Q3 2026 was $158.7 million (Q2 2026), $159.4 million (Q1 2026) and $111.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 610.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 40.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 268.90 Mn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | -515.40 Mn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 408.00 Mn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 236.00 Mn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 382.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 63.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 38.60 Mn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 127.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -515.40 Mn |
| Mar 31, 2026 | 158.70 Mn |
| Dec 31, 2025 | 159.40 Mn |
| Sep 30, 2025 | 111.20 Mn |
| Jun 30, 2025 | 159.60 Mn |
| Mar 31, 2025 | -505.80 Mn |
| Dec 31, 2024 | 140.70 Mn |
| Sep 30, 2024 | 538.40 Mn |
| Jun 30, 2024 | 140.60 Mn |
| Mar 31, 2024 | 130.50 Mn |
| Dec 31, 2023 | 135.40 Mn |
| Sep 30, 2023 | 154.20 Mn |
| Jun 30, 2023 | 139.60 Mn |
| Mar 31, 2023 | 121.00 Mn |
| Dec 31, 2022 | 136.40 Mn |
| Sep 30, 2022 | 130.60 Mn |
| Jun 30, 2022 | 134.20 Mn |
| Mar 31, 2022 | 122.70 Mn |
| Dec 31, 2021 | 113.30 Mn |
| Sep 30, 2021 | 125.30 Mn |
API Access
Air Products & Chemicals 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=APD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=APD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();