Saia (SAIA) Return on Capital Employed [ROCE] (2011 - 2026)
Saia's Return on Capital Employed [ROCE] came in at 11.45% for Q2 2026, down 1.30 percentage points from 12.75% a year earlier but up 0.53 percentage points from the prior quarter.
Saia (SAIA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Saia's Return on Capital Employed [ROCE] was 11.51%, down 7.05 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, with a five-year change of -3.43 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 18.57% in FY2024 (-3.82 pp), 22.39% in FY2023 (-4.72 pp), 27.10% in FY2022 (+2.74 pp) and 24.36% in FY2021 (+9.42 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 10.92% (Q4 2025) to 27.44% (Q2 2022).
- Year-over-year, Return on Capital Employed [ROCE] has declined for 14 consecutive quarters, with an average year-over-year change of -4.53 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2022 (a gain of 10.21 percentage points), and the weakest in Q2 2025 (a drop of 6.86 percentage points).
- Business Quant data shows SAIA's Return on Capital Employed [ROCE] at 10.92% (Q1 2026), 10.92% (Q4 2025) and 12.24% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 15.69% |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 12.29% |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 11.61% |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 6.99% |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 9.67% |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 7.01% |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 10.05% |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 8.86% |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 11.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.45% |
| Mar 31, 2026 | 10.92% |
| Dec 31, 2025 | 10.92% |
| Sep 30, 2025 | 12.24% |
| Jun 30, 2025 | 12.75% |
| Mar 31, 2025 | 14.78% |
| Dec 31, 2024 | 16.94% |
| Sep 30, 2024 | 18.46% |
| Jun 30, 2024 | 19.60% |
| Mar 31, 2024 | 20.51% |
| Dec 31, 2023 | 20.81% |
| Sep 30, 2023 | 20.86% |
| Jun 30, 2023 | 21.78% |
| Mar 31, 2023 | 24.05% |
| Dec 31, 2022 | 24.98% |
| Sep 30, 2022 | 27.07% |
| Jun 30, 2022 | 27.44% |
| Mar 31, 2022 | 25.16% |
| Dec 31, 2021 | 22.40% |
| Sep 30, 2021 | 20.90% |
Saia Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();