Air Products & Chemicals (APD) Operating Expenses (2009 - 2026)
Air Products & Chemicals (APD) recorded Operating Expenses of $3.15 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $270.8 million a year earlier.
Air Products & Chemicals (APD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Air Products & Chemicals' Operating Expenses came in at $4.71 billion as of Jun 30, 2026, up 19.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $4.75 billion, up 331.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $1.1 billion in FY2024 (-15.9%), $1.31 billion in FY2023 (+21.4%), $1.08 billion in FY2022 (+16.8%) and $921.9 million in FY2021 (+7.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses rose in five of the last seven quarters, with growth averaging 158.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 882.3% in fiscal Q2 2025, against a decline of 92.2% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $248.8 million (Q2 2026), $271.1 million (Q1 2026) and $1.04 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 1.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.15 Bn |
| Mar 31, 2026 | 248.80 Mn |
| Dec 31, 2025 | 271.10 Mn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 270.80 Mn |
| Mar 31, 2025 | 3.17 Bn |
| Dec 31, 2024 | 264.40 Mn |
| Sep 30, 2024 | 250.10 Mn |
| Jun 30, 2024 | 262.40 Mn |
| Mar 31, 2024 | 323.00 Mn |
| Dec 31, 2023 | 264.10 Mn |
| Sep 30, 2023 | 257.40 Mn |
| Jun 30, 2023 | 327.00 Mn |
| Mar 31, 2023 | 464.00 Mn |
| Dec 31, 2022 | 258.80 Mn |
| Sep 30, 2022 | 328.70 Mn |
| Jun 30, 2022 | 241.70 Mn |
| Mar 31, 2022 | 250.70 Mn |
| Dec 31, 2021 | 256.10 Mn |
| Sep 30, 2021 | 227.80 Mn |
Air Products & Chemicals Operating Expenses 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=operating-expenses&ticker=APD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=APD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();