Sps Commerce (SPSC) Total Non-Current Liabilities (2010 - 2026)
Sps Commerce (SPSC) reported Total Non-Current Liabilities of $199.44 million for Q3 2026, unchanged from $199.44 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sps Commerce posted Total Non-Current Liabilities of $195.68 million, up 11.0% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 12.9% (FY2022 to FY2025).
- By year, Total Non-Current Liabilities came in at $176.3 million in FY2024 (+12.9%), $156.14 million in FY2023 (+14.9%) and $135.84 million in FY2022.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 10.9%.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 0.0% (Q3 2026) and 18.5% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at $186.68 million (Q2 2026), $198.77 million (Q1 2026) and $195.68 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.06 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 531.84 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.16 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.17 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.24 Bn |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 199.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 199.44 Mn |
| Jun 30, 2026 | 186.68 Mn |
| Mar 31, 2026 | 198.77 Mn |
| Dec 31, 2025 | 195.68 Mn |
| Sep 30, 2025 | 199.44 Mn |
| Jun 30, 2025 | 171.03 Mn |
| Mar 31, 2025 | 185.57 Mn |
| Dec 31, 2024 | 176.30 Mn |
| Sep 30, 2024 | 173.30 Mn |
| Jun 30, 2024 | 150.42 Mn |
| Mar 31, 2024 | 156.65 Mn |
| Dec 31, 2023 | 156.14 Mn |
| Dec 31, 2022 | 135.84 Mn |
| Dec 31, 2019 | 92.16 Mn |
| Sep 30, 2019 | 80.53 Mn |
| Jun 30, 2019 | 79.25 Mn |
| Mar 31, 2019 | 75.07 Mn |
| Dec 31, 2018 | 60.41 Mn |
| Sep 30, 2018 | 53.91 Mn |
| Jun 30, 2018 | 52.69 Mn |
API Access
Sps Commerce 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=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SPSC", "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=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();