Jetblue Airways (JBLU) Return on Sales [ROS] (2009 - 2026)
Jetblue Airways (JBLU) recorded Return on Sales [ROS] of -5.12% in Q3 2026, down 0.81 percentage points from -4.31% a year earlier but up 0.11 percentage points from the prior quarter.
Jetblue Airways (JBLU) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Jetblue Airways' Return on Sales [ROS] came in at -6.09% as of Sep 30, 2026, down 3.32 percentage points year-over-year; for FY2025, it was -4.06%, up 3.31 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +53.90 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -7.37% in FY2024 (-4.98 pp), -2.39% in FY2023 (+0.86 pp), -3.25% in FY2022 (-1.93 pp) and -1.33% in FY2021 (+56.64 pp).
- Quarterly Return on Sales [ROS] has ranged from -32.55% in Q1 2024 to 9.00% in Q2 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of +1.24 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 62.20 percentage points in Q4 2021, against a drop of 22.15 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -5.23% (Q2 2026), -10.00% (Q1 2026) and -4.46% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (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 | Jetblue Airways | 1.49 Bn | -6.36 Bn | - | -5.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -5.12% |
| Jun 30, 2026 | -5.23% |
| Mar 31, 2026 | -10.00% |
| Dec 31, 2025 | -4.46% |
| Sep 30, 2025 | -4.31% |
| Jun 30, 2025 | 0.25% |
| Mar 31, 2025 | -8.13% |
| Dec 31, 2024 | 0.70% |
| Sep 30, 2024 | -1.61% |
| Jun 30, 2024 | 2.35% |
| Mar 31, 2024 | -32.55% |
| Dec 31, 2023 | -2.88% |
| Sep 30, 2023 | -6.63% |
| Jun 30, 2023 | 9.00% |
| Mar 31, 2023 | -10.40% |
| Dec 31, 2022 | 1.78% |
| Sep 30, 2022 | 5.43% |
| Jun 30, 2022 | -4.62% |
| Mar 31, 2022 | -21.14% |
| Dec 31, 2021 | -6.49% |
Jetblue Airways 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=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "JBLU", "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=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();