Air Products & Chemicals (APD) Total Liabilities (2009 - 2026)
Air Products & Chemicals (APD) posted Total Liabilities of $23.85 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.2% from $23.89 billion a year earlier but up 1.5% from the prior quarter.
Air Products & Chemicals (APD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Air Products & Chemicals' Total Liabilities came in at $23.71 billion, up 13.4% from FY2024.
- Annual Total Liabilities has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior fiscal years, Air Products & Chemicals' Total Liabilities was $20.9 billion in FY2024 (+27.9%), $16.34 billion in FY2023 (+21.1%), $13.49 billion in FY2022 (+5.6%) and $12.77 billion in FY2021 (+0.4%).
- Quarterly Total Liabilities has run from a low of $12.75 billion in fiscal Q1 2022 to a high of $23.89 billion in fiscal Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 13.3%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2024, with growth of 32.8%; the weakest was fiscal Q1 2022, with a decline of 2.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $23.49 billion (Q2 2026), $23.4 billion (Q1 2026) and $23.71 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Ppg Industries | 23.55 Bn | 16.36 Bn | 1.81 Bn | 13.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.85 Bn |
| Mar 31, 2026 | 23.49 Bn |
| Dec 31, 2025 | 23.40 Bn |
| Sep 30, 2025 | 23.71 Bn |
| Jun 30, 2025 | 23.89 Bn |
| Mar 31, 2025 | 22.09 Bn |
| Dec 31, 2024 | 21.28 Bn |
| Sep 30, 2024 | 20.90 Bn |
| Jun 30, 2024 | 20.29 Bn |
| Mar 31, 2024 | 19.59 Bn |
| Dec 31, 2023 | 17.99 Bn |
| Sep 30, 2023 | 16.34 Bn |
| Jun 30, 2023 | 15.56 Bn |
| Mar 31, 2023 | 14.75 Bn |
| Dec 31, 2022 | 13.76 Bn |
| Sep 30, 2022 | 13.49 Bn |
| Jun 30, 2022 | 13.27 Bn |
| Mar 31, 2022 | 12.94 Bn |
| Dec 31, 2021 | 12.75 Bn |
| Sep 30, 2021 | 12.77 Bn |
Air Products & Chemicals Total Liabilities 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=total-liabilities&ticker=APD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=APD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();