Stratasys (SSYS) Tax Provisions (2011 - 2026)
Stratasys' Tax Provisions was $6.68 million in Q2 2026, up 542.0% from $1.04 million a year earlier.
Stratasys (SSYS) Tax Provisions (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stratasys' Tax Provisions was $8.29 million through Jun 30, 2026, up 177.3% year-over-year; for FY2025, it was $3.08 million, up 3.7% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of -28.4% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $2.97 million in FY2024 (-48.6%), $5.78 million in FY2023 (+6.0%), $5.45 million in FY2022 and -$3.91 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Tax Provisions since Q4 2015.
- Compared with a year earlier, Tax Provisions was higher in five of the last eight quarters, with growth averaging 63.2%.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2026 (growth of 542.0%); the worst was Q1 2026 (a decline of 94.5%).
- Per Business Quant data, SSYS's Tax Provisions in the three quarters before Q2 2026 was $25,000 (Q1 2026), $1.06 million (Q4 2025) and $524,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 339.52 Bn | 311.22 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 200.47 Bn | 195.05 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 175.47 Bn | 143.56 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 156.31 Bn | 153.50 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 121.55 Bn | 119.68 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Emerson Electric | 90.51 Bn | 83.25 Bn | 2.66 Bn | 198.00 Mn |
| 7 | 3M | 85.92 Bn | 67.32 Bn | 2.68 Bn | 183.00 Mn |
| 8 | Vertiv Holdings | 82.65 Bn | 73.27 Bn | 1.23 Bn | 122.20 Mn |
| 9 | Illinois Tool Works | 77.64 Bn | 74.20 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Stratasys | 582.23 Mn | -367.58 Mn | 58.24 Mn | 6.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.70 Mn |
| Mar 31, 2026 | 25,000.00 |
| Dec 31, 2025 | 1.06 Mn |
| Sep 30, 2025 | 524,000.00 |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 455,000.00 |
| Dec 31, 2024 | 653,000.00 |
| Sep 30, 2024 | 842,000.00 |
| Jun 30, 2024 | 762,000.00 |
| Mar 31, 2024 | 716,000.00 |
| Dec 31, 2023 | 637,000.00 |
| Sep 30, 2023 | 645,000.00 |
| Jun 30, 2023 | 725,000.00 |
| Mar 31, 2023 | 3.78 Mn |
| Dec 31, 2022 | 2.66 Mn |
| Sep 30, 2022 | 3.30 Mn |
| Jun 30, 2022 | -429,000.00 |
| Mar 31, 2022 | -73,000.00 |
| Dec 31, 2021 | 2.10 Mn |
| Sep 30, 2021 | 699,000.00 |
Stratasys 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=SSYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "SSYS", "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=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();