Saia (SAIA) Total Liabilities (2010 - 2026)
Saia (SAIA) recorded Total Liabilities of $998.23 million in Q2 2026, down 2.2% from $1.02 billion a year earlier but up 6.5% from the prior quarter.
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Analysis
Saia (SAIA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Saia reported Total Liabilities of $904.98 million, up 5.8% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $855.59 million in FY2024 (+33.3%), $642.07 million in FY2023 (+7.8%), $595.37 million in FY2022 (-4.7%) and $624.92 million in FY2021 (+6.4%).
- Quarterly Total Liabilities has ranged from $590.89 million in Q2 2023 to $1.02 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 17.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 38.9% in Q2 2024, against a decline of 8.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $937.4 million (Q1 2026), $904.98 million (Q4 2025) and $974.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 50.54 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 30.64 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 56.17 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 29.33 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 28.87 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 67.87 Bn |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 998.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 998.23 Mn |
| Mar 31, 2026 | 937.40 Mn |
| Dec 31, 2025 | 904.98 Mn |
| Sep 30, 2025 | 974.93 Mn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 855.59 Mn |
| Sep 30, 2024 | 850.64 Mn |
| Jun 30, 2024 | 821.04 Mn |
| Mar 31, 2024 | 736.78 Mn |
| Dec 31, 2023 | 642.07 Mn |
| Sep 30, 2023 | 635.86 Mn |
| Jun 30, 2023 | 590.89 Mn |
| Mar 31, 2023 | 591.86 Mn |
| Dec 31, 2022 | 595.37 Mn |
| Sep 30, 2022 | 633.84 Mn |
| Jun 30, 2022 | 644.09 Mn |
| Mar 31, 2022 | 640.86 Mn |
| Dec 31, 2021 | 624.92 Mn |
| Sep 30, 2021 | 644.53 Mn |
API Access
Saia Total Liabilities 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=total-liabilities&ticker=SAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();