Sps Commerce (SPSC) Amortizatization of Intangibles (2011 - 2026)
Sps Commerce (SPSC) posted Amortizatization of Intangibles of $9.38 million for Q2 2026, down 1.3% from $9.51 million a year earlier but up 0.7% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Amortizatization of Intangibles (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Sps Commerce was $37.77 million, up 16.5% year-over-year; for FY2025, it was $37.17 million, up 58.1% from FY2024.
- Annual Amortizatization of Intangibles has increased for seven consecutive years, with a five-year compound annual growth rate of 46.3% (FY2020 to FY2025).
- In prior years, Sps Commerce's Amortizatization of Intangibles was $23.51 million in FY2024 (+45.9%), $16.12 million in FY2023 (+36.9%), $11.77 million in FY2022 (+16.2%) and $10.13 million in FY2021 (+82.8%).
- Quarterly Amortizatization of Intangibles has run from a low of $2.39 million in Q4 2021 to a high of $9.58 million in Q4 2025 over five years.
- On a year-over-year basis, Amortizatization of Intangibles increased in seven of the last eight quarters, with growth averaging 49.8%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2025, with growth of 98.0%; the weakest was Q2 2022, with a decline of 7.6%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $9.32 million (Q1 2026), $9.58 million (Q4 2025) and $9.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | - |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Sps Commerce | 2.98 Bn | 2.37 Bn | 138.79 Mn | 9.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.38 Mn |
| Mar 31, 2026 | 9.32 Mn |
| Dec 31, 2025 | 9.58 Mn |
| Sep 30, 2025 | 9.49 Mn |
| Jun 30, 2025 | 9.51 Mn |
| Mar 31, 2025 | 8.59 Mn |
| Dec 31, 2024 | 7.86 Mn |
| Sep 30, 2024 | 6.47 Mn |
| Jun 30, 2024 | 4.84 Mn |
| Mar 31, 2024 | 4.34 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | 3.79 Mn |
| Jun 30, 2023 | 3.48 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 3.83 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 2.47 Mn |
| Dec 31, 2021 | 2.39 Mn |
| Sep 30, 2021 | 2.40 Mn |
API Access
Sps Commerce Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();