Saia (SAIA) Total Non-Current Liabilities (2010 - 2026)
Saia (SAIA) posted Total Non-Current Liabilities of $370.9 million for Q2 2026, up 22.5% from $302.81 million a year earlier and up 12.9% from the prior quarter.
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Analysis
Saia (SAIA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Saia's Total Non-Current Liabilities came in at $265.38 million, down 4.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Saia's Total Non-Current Liabilities was $278.36 million in FY2024 (-13.6%), $322.06 million in FY2023 (+17.5%), $274.09 million in FY2022 (-14.7%) and $321.35 million in FY2021 (+16.5%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 0.6%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 24.9%; the weakest was Q2 2023, with a decline of 21.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $328.5 million (Q1 2026), $265.38 million (Q4 2025) and $295.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 48.79 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 30.11 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 27.16 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 40.11 Bn |
| 10 | Saia | 8.88 Bn | 8.70 Bn | - | 370.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.90 Mn |
| Mar 31, 2026 | 328.50 Mn |
| Dec 31, 2025 | 265.38 Mn |
| Sep 30, 2025 | 295.90 Mn |
| Jun 30, 2025 | 302.81 Mn |
| Mar 31, 2025 | 327.70 Mn |
| Dec 31, 2024 | 278.36 Mn |
| Sep 30, 2024 | 346.67 Mn |
| Jun 30, 2024 | 327.83 Mn |
| Mar 31, 2024 | 337.77 Mn |
| Dec 31, 2023 | 322.06 Mn |
| Sep 30, 2023 | 299.23 Mn |
| Jun 30, 2023 | 267.29 Mn |
| Mar 31, 2023 | 270.53 Mn |
| Dec 31, 2022 | 274.09 Mn |
| Sep 30, 2022 | 338.47 Mn |
| Jun 30, 2022 | 339.15 Mn |
| Mar 31, 2022 | 339.12 Mn |
| Dec 31, 2021 | 321.35 Mn |
| Sep 30, 2021 | 338.62 Mn |
API Access
Saia Total Non-Current 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-non-current-liabilities&ticker=SAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();