Sps Commerce (SPSC) Cost of Revenue (2010 - 2026)
Sps Commerce's Cost of Revenue was $57.1 million in Q3 2026, down 1.4% from $57.93 million a year earlier and down 3.3% from the prior quarter.
Sps Commerce (SPSC) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sps Commerce's Cost of Revenue was $232.3 million through Sep 30, 2026, up 0.9% year-over-year; for FY2025, it came in at $231.63 million, up 9.9% from FY2024.
- Cost of Revenue has now increased for 16 consecutive years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $210.71 million in FY2024 (+15.7%), $182.07 million in FY2023 (+18.9%), $153.07 million in FY2022 (+16.2%) and $131.68 million in FY2021 (+31.9%).
- Quarterly Cost of Revenue has moved between $35.39 million (Q1 2022) and $59.83 million (Q2 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 6.9%.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2021 (growth of 32.4%); the worst was Q3 2026 (a decline of 1.4%).
- Per Business Quant data, SPSC's Cost of Revenue in the three quarters before Q3 2026 was $59.03 million (Q2 2026), $59.22 million (Q1 2026) and $56.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.44 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 131.89 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 71.96 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 307.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 211.00 Mn |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 57.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.10 Mn |
| Jun 30, 2026 | 59.03 Mn |
| Mar 31, 2026 | 59.22 Mn |
| Dec 31, 2025 | 56.96 Mn |
| Sep 30, 2025 | 57.93 Mn |
| Jun 30, 2025 | 59.83 Mn |
| Mar 31, 2025 | 56.91 Mn |
| Dec 31, 2024 | 55.59 Mn |
| Sep 30, 2024 | 51.62 Mn |
| Jun 30, 2024 | 52.02 Mn |
| Mar 31, 2024 | 51.49 Mn |
| Dec 31, 2023 | 49.04 Mn |
| Sep 30, 2023 | 45.52 Mn |
| Jun 30, 2023 | 44.54 Mn |
| Mar 31, 2023 | 42.96 Mn |
| Dec 31, 2022 | 41.54 Mn |
| Sep 30, 2022 | 38.61 Mn |
| Jun 30, 2022 | 37.53 Mn |
| Mar 31, 2022 | 35.39 Mn |
| Dec 31, 2021 | 35.64 Mn |
Sps Commerce Cost of Revenue 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=cost-of-revenue&ticker=SPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();