Latest revenue
$806.2M
as of 2026-03-31
Latest net income
$49.9M
as of 2026-03-31
Net margin
6.2%
as of 2026-03-31
Community sentiment
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SAIA vs S&P 500 · rebased to 100
Live market
delayed ≤15 min- Market cap
- $12.78B
- Enterprise value
- $12.85B
- P/E (trailing)
- 50.1×
- Forward P/E
- —
- P/B
- 4.86×
- Dividend yield
- 0.0%
- 52-wk high
- $494.71
- 52-wk low
- $249.00
- Beta
- —
- Shares out
- 26.7M
What this company does
Item 1. Business Overview Saia, Inc., through its wholly-owned subsidiaries, is a transportation company headquartered in Johns Creek, Georgia (Saia, Inc. together with its subsidiaries, the Company or Saia). We provide national less-than-truckload (LTL) services through a single integrated organization. While approximately 97% of our revenue is derived from transporting LTL shipments, we also offer customers a wide range of other value-added services, including brokered truckload and expedited transportation and other logistics services across North America. Founded in 1924, Saia Motor Freight Line, LLC (Saia LTL Freight), a wholly-owned subsidiary of Saia, Inc., is a leading LTL carrier…
AI summary unavailable — showing raw filing excerpt
Generated from SAIA's filing dated 2026-02-24
Key risks
Item 1A. Risk Factors Certain factors may have a material adverse effect on our business, financial condition, and results of operations. You should carefully consider the risks and uncertainties described below, together with all the other information included in this Annual Report on Form 10-K, including our financial statements and the related notes. Our business, financial condition, operating results, cash flow and prospects could be materially and adversely affected by any of these risks or uncertainties. The risks below are organized by headings and each riskis discussed separately, but many are interrelated. The risks and uncertainties described below are not the only ones we face.…
AI summary unavailable — showing raw filing excerpt
Generated from SAIA's filing dated 2026-02-24
ActaClear Score
Computed from 5 years of SEC fundamentals + latest market data, ranked within Trucking (No Local) (13 peers). 10 = best in industry, 5 = median, 0 = worst. Refreshed Jun 10, 2026.
Fair value · DCF
Methodology + caveats (click to expand)
Method. 10-year forecast of free cash flow, discounted at the company's WACC, with a Gordon-growth terminal at year 10. FCF is proxied by last fiscal-year net income (proper FCF needs CFO − CapEx by year, which we don't store yet). Beta defaults to 1.0 when not reported.
Why DCF is fragile. Treat the output as a thinking aid, not a verdict. Honest weaknesses of any DCF:
- Growth is the dominant assumption. No one can foresee 10 years of growth — small changes in the slider can double or halve fair value. The reverse-DCF readout above tells you what the market is implicitly assuming; ask yourself whether that's realistic before trusting either number.
- Terminal value dominates. In most DCFs, 60-80% of the answer comes from the terminal-value calculation — i.e., everything AFTER year 10. A 0.5pp change in terminal growth, or in WACC, can swing fair value by 20-30%.
- WACC is itself a guess. We use a textbook CAPM cost of equity (Rf 4.3%, MRP 5.5%, β from the quote) plus a 6% pretax cost of debt — none of these are the company's actual marginal financing cost.
- No moat / disruption modelling. The model assumes the company keeps earning whatever it earns today, compounding cleanly. Competitive shifts, regulatory action, and technology disruption can invalidate the forecast overnight.
- Net income ≠ free cash flow. For capex-heavy names (semis, telcos) net income overstates distributable cash. For low-capex names (software) it understates. Both reduce the precision of the FV figure.
- Reflexivity. A high stock price often becomes a self-fulfilling prophecy via better hiring, financing, and customer trust. DCF can't see this.
Take the DCF, the reverse-DCF implied growth, the historical multiples, and the community sentiment together. When they agree, conviction. When they disagree, the disagreement is the most informative thing on the page.
Historical multiples
How does SAIA's current valuation compare to its own past?
P/E uses year-end weekly close ÷ (net income ÷ shares outstanding today). Held shares constant at today's count, which understates the per-share earnings improvement from buybacks over the period. PEG uses 5y revenue CAGR as a proxy for EPS growth — close, but not identical (margin expansion or dilution can drive a wedge). Best read as a comparator across companies and industries, not as a precise replica of historical multiples.