Sps Commerce (SPSC) Tax Provisions (2010 - 2026)
Sps Commerce (SPSC) reported Tax Provisions of $10.62 million for Q3 2026, up 54.3% from $6.88 million a year earlier and up 199.4% from the prior quarter.
Sps Commerce (SPSC) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Sps Commerce's Tax Provisions came in at $30.54 million, up 12.4% year-over-year; for FY2025, it came in at $30.5 million, up 36.0% from FY2024.
- Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- By year, Tax Provisions came in at $22.42 million in FY2024 (+13.6%), $19.74 million in FY2023 (+21.9%), $16.19 million in FY2022 (+81.0%) and $8.94 million in FY2021 (+26.1%).
- The Q3 2026 figure ranks as the highest quarterly Tax Provisions in data going back to Q2 2010.
- Year over year, Tax Provisions gained in four of the last seven quarters, with growth averaging 6.6%.
- The high point for year-over-year Tax Provisions in five years was Q3 2022 (growth of 131.0%); the low point was Q1 2024 (a decline of 80.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $3.55 million (Q2 2026), $6.24 million (Q1 2026) and $10.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 76.10 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.30 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 33.66 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 7.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 21.54 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 25.50 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 62.20 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 10.00 Mn |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 10.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.62 Mn |
| Jun 30, 2026 | 3.55 Mn |
| Mar 31, 2026 | 6.24 Mn |
| Dec 31, 2025 | 10.14 Mn |
| Sep 30, 2025 | 6.88 Mn |
| Jun 30, 2025 | 7.51 Mn |
| Mar 31, 2025 | 5.97 Mn |
| Dec 31, 2024 | 6.81 Mn |
| Sep 30, 2024 | 5.89 Mn |
| Jun 30, 2024 | 9.19 Mn |
| Mar 31, 2024 | 532,000.00 |
| Dec 31, 2023 | 7.33 Mn |
| Sep 30, 2023 | 5.46 Mn |
| Jun 30, 2023 | 4.23 Mn |
| Mar 31, 2023 | 2.72 Mn |
| Dec 31, 2022 | 4.85 Mn |
| Sep 30, 2022 | 3.13 Mn |
| Jun 30, 2022 | 3.88 Mn |
| Mar 31, 2022 | 4.33 Mn |
| Dec 31, 2021 | 2.49 Mn |
Sps Commerce Tax Provisions 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=tax-provisions&ticker=SPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();