Sps Commerce (SPSC) Total Liabilities (2010 - 2026)
Sps Commerce (SPSC) posted Total Liabilities of $199.7 million for Q3 2026, unchanged from $199.74 million a year earlier and up 6.8% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sps Commerce's Total Liabilities came in at $195.97 million, up 11.0% from FY2024.
- Annual Total Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In prior years, Sps Commerce's Total Liabilities was $176.54 million in FY2024 (+12.9%), $156.37 million in FY2023 (+15.1%), $135.84 million in FY2022 (+3.2%) and $131.59 million in FY2021 (+24.4%).
- Quarterly Total Liabilities has run from a low of $121.79 million in Q1 2022 to a high of $199.74 million in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 10.9%.
- The year-over-year growth in Total Liabilities has ranged between 0.0% (Q3 2026) and 24.4% (Q4 2021) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $186.95 million (Q2 2026), $199.05 million (Q1 2026) and $195.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.27 Bn |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 199.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 199.70 Mn |
| Jun 30, 2026 | 186.95 Mn |
| Mar 31, 2026 | 199.05 Mn |
| Dec 31, 2025 | 195.97 Mn |
| Sep 30, 2025 | 199.74 Mn |
| Jun 30, 2025 | 171.32 Mn |
| Mar 31, 2025 | 188.13 Mn |
| Dec 31, 2024 | 176.54 Mn |
| Sep 30, 2024 | 173.94 Mn |
| Jun 30, 2024 | 151.10 Mn |
| Mar 31, 2024 | 156.88 Mn |
| Dec 31, 2023 | 156.37 Mn |
| Sep 30, 2023 | 160.56 Mn |
| Jun 30, 2023 | 134.56 Mn |
| Mar 31, 2023 | 131.04 Mn |
| Dec 31, 2022 | 135.84 Mn |
| Sep 30, 2022 | 129.43 Mn |
| Jun 30, 2022 | 125.76 Mn |
| Mar 31, 2022 | 121.79 Mn |
| Dec 31, 2021 | 131.59 Mn |
API Access
Sps Commerce 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=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();