Saia (SAIA) EBITDA (2010 - 2026)
Saia (SAIA) recorded EBITDA of $189.39 million in Q2 2026, up 16.9% from $161.95 million a year earlier and up 46.8% from the prior quarter.
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Analysis
Saia (SAIA) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Saia's EBITDA came in at $628.01 million as of Jun 30, 2026, up 0.2% year-over-year; for FY2025, it came in at $600.77 million, down 13.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $692.27 million in FY2024 (+8.3%), $639.34 million in FY2023 (+1.9%), $627.69 million in FY2022 (+31.6%) and $476.84 million in FY2021 (+51.4%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2024.
- On a year-over-year basis, EBITDA rose in three of the last eight quarters, with an average decline of 4.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 70.5% in Q1 2022, against a decline of 22.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $129 million (Q1 2026), $126.97 million (Q4 2025) and $182.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 3.40 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 1.48 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 1.86 Bn |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 189.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.39 Mn |
| Mar 31, 2026 | 129.00 Mn |
| Dec 31, 2025 | 126.97 Mn |
| Sep 30, 2025 | 182.65 Mn |
| Jun 30, 2025 | 161.95 Mn |
| Mar 31, 2025 | 129.21 Mn |
| Dec 31, 2024 | 155.55 Mn |
| Sep 30, 2024 | 179.83 Mn |
| Jun 30, 2024 | 190.13 Mn |
| Mar 31, 2024 | 166.76 Mn |
| Dec 31, 2023 | 158.35 Mn |
| Sep 30, 2023 | 174.05 Mn |
| Jun 30, 2023 | 164.91 Mn |
| Mar 31, 2023 | 142.02 Mn |
| Dec 31, 2022 | 132.32 Mn |
| Sep 30, 2022 | 169.04 Mn |
| Jun 30, 2022 | 182.94 Mn |
| Mar 31, 2022 | 143.40 Mn |
| Dec 31, 2021 | 133.31 Mn |
| Sep 30, 2021 | 141.86 Mn |
API Access
Saia EBITDA 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=ebitda&ticker=SAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();