Saia (SAIA) EBT (2010 - 2026)
Saia (SAIA) posted EBT of $125.48 million for Q2 2026, up 31.3% from $95.56 million a year earlier and up 92.9% from the prior quarter.
Saia (SAIA) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Saia was $366.77 million, down 4.1% year-over-year; for FY2025, it came in at $337.39 million, down 29.1% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In prior years, Saia's EBT was $476.01 million in FY2024 (+2.1%), $466.23 million in FY2023 (-0.4%), $468.05 million in FY2022 (+40.7%) and $332.77 million in FY2021 (+88.8%).
- The Q2 2026 figure stands as the highest quarterly EBT since Q2 2024.
- On a year-over-year basis, EBT increased in 1 of the last eight quarters, with an average decline of 13.6%.
- The strongest year-over-year quarter for EBT in the past five years was Q1 2022, with growth of 113.6%; the weakest was Q1 2025, with a decline of 44.9%.
- According to Business Quant data, EBT for the three prior quarters was $65.04 million (Q1 2026), $61.44 million (Q4 2025) and $114.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 2.56 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.32 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 761.00 Mn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 982.46 Mn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 959.00 Mn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 2.11 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 1.07 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 467.47 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.03 Bn |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 125.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.48 Mn |
| Mar 31, 2026 | 65.04 Mn |
| Dec 31, 2025 | 61.44 Mn |
| Sep 30, 2025 | 114.83 Mn |
| Jun 30, 2025 | 95.56 Mn |
| Mar 31, 2025 | 65.57 Mn |
| Dec 31, 2024 | 98.80 Mn |
| Sep 30, 2024 | 122.68 Mn |
| Jun 30, 2024 | 135.62 Mn |
| Mar 31, 2024 | 118.91 Mn |
| Dec 31, 2023 | 115.61 Mn |
| Sep 30, 2023 | 130.25 Mn |
| Jun 30, 2023 | 121.27 Mn |
| Mar 31, 2023 | 99.10 Mn |
| Dec 31, 2022 | 93.26 Mn |
| Sep 30, 2022 | 127.71 Mn |
| Jun 30, 2022 | 144.56 Mn |
| Mar 31, 2022 | 102.52 Mn |
| Dec 31, 2021 | 96.93 Mn |
| Sep 30, 2021 | 105.33 Mn |
Saia EBT 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=ebt&ticker=SAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();