Ardmore Shipping (ASC) Operating Margin (2012 - 2026)
Ardmore Shipping (ASC) posted Operating Margin of 69.17% for Q3 2026, down 7.69 percentage points from 76.86% a year earlier and down 14.07 percentage points from the prior quarter.
Ardmore Shipping (ASC) Operating Margin (2012 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Margin at Ardmore Shipping was 67.45%, up 6.60 percentage points year-over-year; for FY2025, it was 27.67%, down 14.74 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +4.70 percentage points (FY2020 to FY2025).
- In prior years, Ardmore Shipping's Operating Margin was 42.40% in FY2024 (+2.45 pp), 39.95% in FY2023 (-1.77 pp), 41.72% in FY2022 (+33.08 pp) and 8.64% in FY2021 (-14.33 pp).
- Quarterly Operating Margin has run from a low of 10.40% in Q4 2021 to a high of 89.02% in Q3 2022 over five years.
- On a year-over-year basis, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -3.11 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2022, with a gain of 29185.07 percentage points; the weakest was Q4 2024, with a drop of 17.75 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 83.24% (Q2 2026), 79.18% (Q1 2026) and 31.06% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 40.89% |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 7.63% |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 35.25% |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 6.20% |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 32.61% |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 28.46% |
| 10 | Ardmore Shipping | 706.67 Mn | 516.99 Mn | 69.21 Mn | 69.17% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.17% |
| Jun 30, 2026 | 83.24% |
| Mar 31, 2026 | 79.18% |
| Dec 31, 2025 | 31.06% |
| Sep 30, 2025 | 76.86% |
| Jun 30, 2025 | 74.45% |
| Mar 31, 2025 | 75.36% |
| Dec 31, 2024 | 19.98% |
| Sep 30, 2024 | 82.26% |
| Jun 30, 2024 | 84.24% |
| Mar 31, 2024 | 83.30% |
| Dec 31, 2023 | 37.73% |
| Sep 30, 2023 | 80.97% |
| Jun 30, 2023 | 80.96% |
| Mar 31, 2023 | 84.94% |
| Dec 31, 2022 | 50.03% |
| Sep 30, 2022 | 89.02% |
| Jun 30, 2022 | 83.96% |
| Mar 31, 2022 | 72.08% |
| Dec 31, 2021 | 10.40% |
Ardmore Shipping Operating Margin 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-margin&ticker=ASC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "ASC", "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-margin&ticker=ASC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();