Sps Commerce (SPSC) Total Non-Current Liabilities (2010 - 2026)
Sps Commerce (SPSC) reported Total Non-Current Liabilities of $186.68 million for Q2 2026, up 9.1% from $171.03 million a year earlier but down 6.1% 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.
- Five-year quarterly Total Non-Current Liabilities spans a low of $135.84 million in Q4 2022 and a high of $199.44 million in Q3 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last seven quarters, with growth averaging 12.5% over the last seven quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 7.1% (Q1 2026) and 18.5% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $198.77 million (Q1 2026), $195.68 million (Q4 2025) and $199.44 million (Q3 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 | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 186.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 61.78 Mn |
| Sep 30, 2018 | 53.91 Mn |
| Jun 30, 2018 | 52.69 Mn |
| Mar 31, 2018 | 46.56 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();