Sps Commerce (SPSC) Total Current Liabilities (2010 - 2026)
Sps Commerce (SPSC) recorded Total Current Liabilities of $153.97 million in Q3 2026, down 3.8% from $160.05 million a year earlier but up 5.3% from the prior quarter.
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Analysis
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%).
- Quarterly Total Current Liabilities has ranged from $94.43 million in Q1 2022 to $160.05 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in six of the last eight quarters, with growth averaging 6.5%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 28.4% in Q4 2021, against a decline of 3.8% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $146.26 million (Q2 2026), $154.95 million (Q1 2026) and $154.35 million (Q4 2025).
Peer Set
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 | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 1.34 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 | 480.10 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 959.82 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 1.46 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 716.00 Mn |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 153.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 153.97 Mn |
| 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 |
API Access
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_KEYimport 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();