Sps Commerce (SPSC) Cash & Equivalents (2010 - 2026)
Sps Commerce (SPSC) recorded Cash & Equivalents of $153.82 million in Q3 2026, up 15.0% from $133.73 million a year earlier but down 11.2% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Sps Commerce reported Cash & Equivalents of $151.36 million, down 37.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $241.02 million in FY2024 (+10.0%), $219.08 million in FY2023 (+34.5%), $162.89 million in FY2022 (-21.5%) and $207.55 million in FY2021 (+38.7%).
- Quarterly Cash & Equivalents has ranged from $94.92 million in Q1 2025 to $241.02 million in Q4 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 62.5% in Q1 2026, against a decline of 59.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $173.17 million (Q2 2026), $154.27 million (Q1 2026) and $151.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 351.45 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.20 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 199.45 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 150.87 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 214.50 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 500.00 Mn |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 153.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 153.82 Mn |
| Jun 30, 2026 | 173.17 Mn |
| Mar 31, 2026 | 154.27 Mn |
| Dec 31, 2025 | 151.36 Mn |
| Sep 30, 2025 | 133.73 Mn |
| Jun 30, 2025 | 107.60 Mn |
| Mar 31, 2025 | 94.92 Mn |
| Dec 31, 2024 | 241.02 Mn |
| Sep 30, 2024 | 198.84 Mn |
| Jun 30, 2024 | 240.23 Mn |
| Mar 31, 2024 | 234.64 Mn |
| Dec 31, 2023 | 219.08 Mn |
| Sep 30, 2023 | 178.70 Mn |
| Jun 30, 2023 | 209.26 Mn |
| Mar 31, 2023 | 182.30 Mn |
| Dec 31, 2022 | 162.89 Mn |
| Sep 30, 2022 | 186.23 Mn |
| Jun 30, 2022 | 212.73 Mn |
| Mar 31, 2022 | 203.09 Mn |
| Dec 31, 2021 | 207.55 Mn |
API Access
Sps Commerce Cash & Equivalents 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=cash-and-equivalents&ticker=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();