Saia (SAIA) Operating Expenses (2010 - 2026)
Saia's Operating Expenses was $831.28 million in Q2 2026, up 15.8% from $717.72 million a year earlier and up 12.4% from the prior quarter.
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Analysis
Saia (SAIA) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Saia's Operating Expenses was $3.02 billion through Jun 30, 2026, up 6.3% year-over-year; for FY2025, it was $2.88 billion, up 5.7% from FY2024.
- Operating Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.73 billion in FY2024 (+12.6%), $2.42 billion in FY2023 (+4.3%), $2.32 billion in FY2022 (+18.8%) and $1.95 billion in FY2021 (+19.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for 12 straight quarters, with growth averaging 7.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 28.1%); the worst was Q2 2023 (a decline of 4.2%).
- Per Business Quant data, SAIA's Operating Expenses in the three quarters before Q2 2026 was $739.42 million (Q1 2026), $725.93 million (Q4 2025) and $721.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 4.10 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 2.34 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 16.58 Bn |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 831.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 831.28 Mn |
| Mar 31, 2026 | 739.42 Mn |
| Dec 31, 2025 | 725.93 Mn |
| Sep 30, 2025 | 721.03 Mn |
| Jun 30, 2025 | 717.72 Mn |
| Mar 31, 2025 | 717.41 Mn |
| Dec 31, 2024 | 687.47 Mn |
| Sep 30, 2024 | 716.93 Mn |
| Jun 30, 2024 | 685.65 Mn |
| Mar 31, 2024 | 636.86 Mn |
| Dec 31, 2023 | 638.47 Mn |
| Sep 30, 2023 | 646.71 Mn |
| Jun 30, 2023 | 574.37 Mn |
| Mar 31, 2023 | 561.39 Mn |
| Dec 31, 2022 | 563.04 Mn |
| Sep 30, 2022 | 601.21 Mn |
| Jun 30, 2022 | 599.56 Mn |
| Mar 31, 2022 | 557.77 Mn |
| Dec 31, 2021 | 519.70 Mn |
| Sep 30, 2021 | 510.10 Mn |
API Access
Saia Operating Expenses 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=operating-expenses&ticker=SAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();