United Parcel Service (UPS) Operating Margin (2009 - 2026)
United Parcel Service (UPS) reported Operating Margin of 7.63% for Q3 2026, down 0.79 percentage points from 8.42% a year earlier but up 3.56 percentage points from the prior quarter.
United Parcel Service (UPS) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, United Parcel Service's Operating Margin came in at 7.13%, down 2.05 percentage points year-over-year; for FY2025, it came in at 8.87%, down 0.43 percentage points from FY2024.
- Operating Margin has declined for four consecutive years, with a five-year change of -0.21 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 9.30% in FY2024 (-0.75 pp), 10.05% in FY2023 (-3.00 pp), 13.05% in FY2022 (-0.12 pp) and 13.17% in FY2021 (+4.09 pp).
- Five-year quarterly Operating Margin spans a low of 4.07% in Q2 2026 and a high of 14.27% in Q2 2022.
- Year over year, Operating Margin has now declined in each of the last six quarters, with an average year-over-year change of -0.88 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was Q4 2021 (a gain of 5.83 percentage points); the low point was Q3 2023 (a drop of 6.51 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 4.07% (Q2 2026), 5.98% (Q1 2026) and 10.52% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.50 Bn | 168.74 Bn | - | 40.89% |
| 2 | United Parcel Service | 94.38 Bn | 71.20 Bn | - | 7.63% |
| 3 | Csx | 93.38 Bn | 88.60 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 83.29 Bn | 82.32 Bn | - | 35.25% |
| 5 | Fedex | 75.61 Bn | 41.81 Bn | - | 6.20% |
| 6 | Norfolk Southern | 73.28 Bn | 67.74 Bn | - | 32.61% |
| 7 | Delta Air Lines | 59.96 Bn | 42.14 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 39.09 Bn | -18.60 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 35.40 Bn | 34.24 Bn | - | 28.46% |
| 10 | Ryanair Holdings | 32.52 Bn | 16.79 Bn | - | 31.94% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.63% |
| Jun 30, 2026 | 4.07% |
| Mar 31, 2026 | 5.98% |
| Dec 31, 2025 | 10.52% |
| Sep 30, 2025 | 8.42% |
| Jun 30, 2025 | 8.59% |
| Mar 31, 2025 | 7.73% |
| Dec 31, 2024 | 11.56% |
| Sep 30, 2024 | 8.92% |
| Jun 30, 2024 | 8.91% |
| Mar 31, 2024 | 7.43% |
| Dec 31, 2023 | 9.94% |
| Sep 30, 2023 | 6.38% |
| Jun 30, 2023 | 12.60% |
| Mar 31, 2023 | 11.08% |
| Dec 31, 2022 | 11.82% |
| Sep 30, 2022 | 12.88% |
| Jun 30, 2022 | 14.27% |
| Mar 31, 2022 | 13.34% |
| Dec 31, 2021 | 14.01% |
United Parcel Service 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=UPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "UPS", "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=UPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();