Fedex (FDX) Cost of Revenue (2017 - 2019)
Fedex's Cost of Revenue came in at $4.03 billion for fiscal Q1 2020 (quarter ended Aug 31, 2019), up 1.5% from $3.97 billion a year earlier but down 1.5% from the prior quarter.
Fedex (FDX) Cost of Revenue (2017 - 2019) Analysis & Trends
Over the trailing twelve months to Aug 31, 2019, Fedex reported Cost of Revenue of $16.72 billion, up 7.0% year-over-year; for FY2019 (ended May 31, 2019), it came in at $16.65 billion, up 10.3% from FY2018.
- Going back by fiscal year, Cost of Revenue was $15.1 billion in FY2018 (+10.8%) and $13.63 billion in FY2017.
- The five-year range for quarterly Cost of Revenue is $3.45 billion (fiscal Q1 2018) to $4.35 billion (fiscal Q2 2019).
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 8.7% over the last five quarters.
- Business Quant data shows FDX's Cost of Revenue at $4.09 billion (Q4 2019), $4.25 billion (Q3 2019) and $4.35 billion (Q2 2019) in the three fiscal quarters before Q1 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Ryanair Holdings | 28.73 Bn | 12.74 Bn | 3.13 Bn | 1.96 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2019 | 4.03 Bn |
| May 31, 2019 | 4.09 Bn |
| Feb 28, 2019 | 4.25 Bn |
| Nov 30, 2018 | 4.35 Bn |
| Aug 31, 2018 | 3.97 Bn |
| May 31, 2018 | 3.88 Bn |
| Feb 28, 2018 | 3.94 Bn |
| Nov 30, 2017 | 3.84 Bn |
| Aug 31, 2017 | 3.45 Bn |
Fedex Cost of Revenue 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=cost-of-revenue&ticker=FDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "FDX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=FDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();