Sps Commerce (SPSC) EBITDA (2010 - 2026)
Sps Commerce (SPSC) posted EBITDA of $23.94 million for Q2 2026, down 41.6% from $40.97 million a year earlier and down 39.7% from the prior quarter.
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Analysis
Sps Commerce (SPSC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Sps Commerce was $159.75 million, up 3.4% year-over-year; for FY2025, it came in at $176.56 million, up 34.7% from FY2024.
- Annual EBITDA has increased for 14 consecutive years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- In prior years, Sps Commerce's EBITDA was $131.11 million in FY2024 (+17.1%), $112 million in FY2023 (+12.7%), $99.37 million in FY2022 (+24.2%) and $80 million in FY2021 (+16.2%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA since Q2 2022.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 18.3%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2025, with growth of 61.7%; the weakest was Q2 2026, with a decline of 41.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $39.71 million (Q1 2026), $50.05 million (Q4 2025) and $46.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 23.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.94 Mn |
| Mar 31, 2026 | 39.71 Mn |
| Dec 31, 2025 | 50.05 Mn |
| Sep 30, 2025 | 46.04 Mn |
| Jun 30, 2025 | 40.97 Mn |
| Mar 31, 2025 | 39.50 Mn |
| Dec 31, 2024 | 37.32 Mn |
| Sep 30, 2024 | 36.67 Mn |
| Jun 30, 2024 | 32.69 Mn |
| Mar 31, 2024 | 24.44 Mn |
| Dec 31, 2023 | 32.55 Mn |
| Sep 30, 2023 | 29.06 Mn |
| Jun 30, 2023 | 25.18 Mn |
| Mar 31, 2023 | 25.21 Mn |
| Dec 31, 2022 | 27.28 Mn |
| Sep 30, 2022 | 26.86 Mn |
| Jun 30, 2022 | 22.39 Mn |
| Mar 31, 2022 | 22.84 Mn |
| Dec 31, 2021 | 21.56 Mn |
| Sep 30, 2021 | 19.62 Mn |
API Access
Sps Commerce EBITDA 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=ebitda&ticker=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();