Sps Commerce (SPSC) Total Current Liabilities (2010 - 2026)
Sps Commerce (SPSC) recorded Total Current Liabilities of $146.26 million in Q2 2026, down 1.2% from $147.97 million a year earlier and down 5.6% from the prior quarter.
Sps Commerce (SPSC) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Sps Commerce reported Total Current Liabilities of $154.35 million, up 5.2% from FY2024.
- Annual Total Current Liabilities has increased for ten straight years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $146.68 million in FY2024 (+12.3%), $130.67 million in FY2023 (+18.1%), $110.64 million in FY2022 (+7.6%) and $102.87 million in FY2021 (+28.4%).
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q2 2024.
- On a year-over-year basis, Total Current Liabilities rose in seven of the last eight quarters, with growth averaging 8.3%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 34.9% in Q3 2021, against a decline of 1.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $154.95 million (Q1 2026), $154.35 million (Q4 2025) and $160.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 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 | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 146.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.26 Mn |
| Mar 31, 2026 | 154.95 Mn |
| Dec 31, 2025 | 154.35 Mn |
| Sep 30, 2025 | 160.05 Mn |
| Jun 30, 2025 | 147.97 Mn |
| Mar 31, 2025 | 153.42 Mn |
| Dec 31, 2024 | 146.68 Mn |
| Sep 30, 2024 | 146.33 Mn |
| Jun 30, 2024 | 128.55 Mn |
| Mar 31, 2024 | 134.22 Mn |
| Dec 31, 2023 | 130.67 Mn |
| Sep 30, 2023 | 132.87 Mn |
| Jun 30, 2023 | 111.97 Mn |
| Mar 31, 2023 | 106.96 Mn |
| Dec 31, 2022 | 110.64 Mn |
| Sep 30, 2022 | 105.47 Mn |
| Jun 30, 2022 | 101.24 Mn |
| Mar 31, 2022 | 94.43 Mn |
| Dec 31, 2021 | 102.87 Mn |
| Sep 30, 2021 | 94.93 Mn |
Sps Commerce Total 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-current-liabilities&ticker=SPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();