Saia (SAIA) Tax Provisions (2010 - 2026)
Saia's Tax Provisions was $31.22 million in Q2 2026, up 29.1% from $24.17 million a year earlier and up 105.8% from the prior quarter.
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Analysis
Saia (SAIA) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Saia's Tax Provisions was $88.81 million through Jun 30, 2026, down 4.1% year-over-year; for FY2025, it came in at $82.35 million, down 27.7% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $113.94 million in FY2024 (+2.3%), $111.37 million in FY2023 (+0.7%), $110.63 million in FY2022 (+39.1%) and $79.54 million in FY2021 (+109.7%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions since Q2 2024.
- Compared with a year earlier, Tax Provisions was higher in 1 of the last eight quarters, with an average decline of 13.7%.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2021 (growth of 133.0%); the worst was Q1 2025 (a decline of 44.2%).
- Per Business Quant data, SAIA's Tax Provisions in the three quarters before Q2 2026 was $15.17 million (Q1 2026), $13.92 million (Q4 2025) and $28.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 562.00 Mn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 318.00 Mn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 157.00 Mn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 242.18 Mn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 225.00 Mn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 318.00 Mn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 116.87 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 221.00 Mn |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 31.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.22 Mn |
| Mar 31, 2026 | 15.17 Mn |
| Dec 31, 2025 | 13.92 Mn |
| Sep 30, 2025 | 28.51 Mn |
| Jun 30, 2025 | 24.17 Mn |
| Mar 31, 2025 | 15.76 Mn |
| Dec 31, 2024 | 22.70 Mn |
| Sep 30, 2024 | 29.93 Mn |
| Jun 30, 2024 | 33.10 Mn |
| Mar 31, 2024 | 28.22 Mn |
| Dec 31, 2023 | 26.38 Mn |
| Sep 30, 2023 | 32.03 Mn |
| Jun 30, 2023 | 29.96 Mn |
| Mar 31, 2023 | 23.00 Mn |
| Dec 31, 2022 | 22.40 Mn |
| Sep 30, 2022 | 29.82 Mn |
| Jun 30, 2022 | 35.31 Mn |
| Mar 31, 2022 | 23.10 Mn |
| Dec 31, 2021 | 23.17 Mn |
| Sep 30, 2021 | 25.62 Mn |
API Access
Saia Tax Provisions 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=tax-provisions&ticker=SAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();