Air Products & Chemicals (APD) Return on Sales [ROS] (2009 - 2026)
Air Products & Chemicals (APD) reported Return on Sales [ROS] of -66.34% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 92.50 percentage points from 26.16% a year earlier and down 90.07 percentage points from the prior quarter.
Air Products & Chemicals (APD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Air Products & Chemicals' Return on Sales [ROS] came in at -4.71%, down 17.40 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -7.29%, down 44.19 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -32.55 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 36.91% in FY2024 (+17.11 pp), 19.80% in FY2023 (+1.38 pp), 18.42% in FY2022 (-3.68 pp) and 22.10% in FY2021 (-3.17 pp).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since fiscal Q2 2025.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -13.78 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2026 (a gain of 103.56 percentage points); the low point was fiscal Q2 2025 (a drop of 101.58 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 23.73% (Q2 2026), 23.67% (Q1 2026) and 0.53% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | International Flavors & Fragrances | 21.22 Bn | 18.91 Bn | 853.00 Mn | 8.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -66.34% |
| Mar 31, 2026 | 23.73% |
| Dec 31, 2025 | 23.67% |
| Sep 30, 2025 | 0.53% |
| Jun 30, 2025 | 26.16% |
| Mar 31, 2025 | -79.83% |
| Dec 31, 2024 | 21.95% |
| Sep 30, 2024 | 76.06% |
| Jun 30, 2024 | 24.71% |
| Mar 31, 2024 | 21.75% |
| Dec 31, 2023 | 22.25% |
| Sep 30, 2023 | 23.14% |
| Jun 30, 2023 | 21.23% |
| Mar 31, 2023 | 14.37% |
| Dec 31, 2022 | 20.54% |
| Sep 30, 2022 | 17.55% |
| Jun 30, 2022 | 19.67% |
| Mar 31, 2022 | 19.08% |
| Dec 31, 2021 | 17.47% |
| Sep 30, 2021 | 21.71% |
Air Products & Chemicals Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=APD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=APD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();