Sps Commerce (SPSC) Property, Plant & Equipment (Net) (2010 - 2026)
Sps Commerce (SPSC) posted Property, Plant & Equipment (Net) of $44.14 million for Q2 2026, up 9.9% from $40.15 million a year earlier but down 4.4% from the prior quarter.
Sps Commerce (SPSC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Sps Commerce's Property, Plant & Equipment (Net) came in at $43.12 million, up 14.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for 15 consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Sps Commerce's Property, Plant & Equipment (Net) was $37.55 million in FY2024 (+4.2%), $36.04 million in FY2023 (+1.6%), $35.46 million in FY2022 (+11.2%) and $31.9 million in FY2021 (+20.7%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $31.04 million in Q3 2021 to a high of $46.15 million in Q1 2026 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last seven quarters, with growth averaging 11.0% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2021, with growth of 23.9%; the weakest was Q2 2024, with a decline of 0.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $46.15 million (Q1 2026), $43.12 million (Q4 2025) and $41.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 42.62 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Sps Commerce | 2.98 Bn | 2.37 Bn | 138.79 Mn | 44.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.14 Mn |
| Mar 31, 2026 | 46.15 Mn |
| Dec 31, 2025 | 43.12 Mn |
| Sep 30, 2025 | 41.45 Mn |
| Jun 30, 2025 | 40.15 Mn |
| Mar 31, 2025 | 38.69 Mn |
| Dec 31, 2024 | 37.55 Mn |
| Sep 30, 2024 | 36.15 Mn |
| Jun 30, 2024 | 35.08 Mn |
| Mar 31, 2024 | 34.97 Mn |
| Dec 31, 2023 | 36.04 Mn |
| Sep 30, 2023 | 36.21 Mn |
| Jun 30, 2023 | 35.21 Mn |
| Mar 31, 2023 | 35.08 Mn |
| Dec 31, 2022 | 35.46 Mn |
| Sep 30, 2022 | 32.92 Mn |
| Jun 30, 2022 | 32.00 Mn |
| Mar 31, 2022 | 32.26 Mn |
| Dec 31, 2021 | 31.90 Mn |
| Sep 30, 2021 | 31.04 Mn |
Sps Commerce Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();