Saia (SAIA) Return on Sales [ROS] (2010 - 2026)
Saia (SAIA) recorded Return on Sales [ROS] of 13.09% in Q2 2026, up 0.93 percentage points from 12.16% a year earlier and up 4.80 percentage points from the prior quarter.
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Analysis
Saia (SAIA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Saia's Return on Sales [ROS] came in at 11.04% as of Jun 30, 2026, down 1.20 percentage points year-over-year; for FY2025, it was 10.89%, down 4.14 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, though with a five-year change of +0.99 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 15.02% in FY2024 (-0.96 pp), 15.98% in FY2023 (-0.87 pp), 16.85% in FY2022 (+2.21 pp) and 14.64% in FY2021 (+4.75 pp).
- Quarterly Return on Sales [ROS] has ranged from 8.10% in Q4 2025 to 19.58% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -2.54 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 5.75 percentage points in Q3 2021, against a drop of 6.71 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.29% (Q1 2026), 8.10% (Q4 2025) and 14.13% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - | 40.89% |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | 39.08% |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | 4.07% |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | 35.35% |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | 32.61% |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | 8.09% |
| 10 | Saia | 8.92 Bn | 8.74 Bn | - | 13.09% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.09% |
| Mar 31, 2026 | 8.29% |
| Dec 31, 2025 | 8.10% |
| Sep 30, 2025 | 14.13% |
| Jun 30, 2025 | 12.16% |
| Mar 31, 2025 | 8.91% |
| Dec 31, 2024 | 12.86% |
| Sep 30, 2024 | 14.86% |
| Jun 30, 2024 | 16.71% |
| Mar 31, 2024 | 15.62% |
| Dec 31, 2023 | 15.00% |
| Sep 30, 2023 | 16.57% |
| Jun 30, 2023 | 17.31% |
| Mar 31, 2023 | 15.01% |
| Dec 31, 2022 | 14.14% |
| Sep 30, 2022 | 17.59% |
| Jun 30, 2022 | 19.58% |
| Mar 31, 2022 | 15.65% |
| Dec 31, 2021 | 15.78% |
| Sep 30, 2021 | 17.22% |
API Access
Saia 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=SAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SAIA", "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=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();