Stratasys (SSYS) Inventory (2011 - 2026)
Stratasys' Inventory came in at $143.93 million for Q2 2026, down 12.5% from $164.59 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Stratasys (SSYS) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025, Stratasys' Inventory was $145.24 million, down 19.2% from FY2024.
- Inventory has declined in each of the last three years, though with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Going back by year, Inventory was $179.81 million in FY2024 (-6.8%), $192.98 million in FY2023 (-0.6%), $194.05 million in FY2022 (+50.3%) and $129.15 million in FY2021 (-1.9%).
- The five-year range for quarterly Inventory is $119.93 million (Q3 2021) to $211.19 million (Q2 2023).
- Year-over-year, Inventory has declined for 11 consecutive quarters, with an average decline of 12.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q4 2022 (growth of 50.3%), and the weakest in Q3 2021 (a decline of 21.5%).
- Business Quant data shows SSYS's Inventory at $143.57 million (Q1 2026), $145.24 million (Q4 2025) and $159.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 7.81 Bn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | 5.26 Bn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | 5.94 Bn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 3.17 Bn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn | 4.08 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn | 2.51 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn | 1.82 Bn |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | 3.29 Bn |
| 10 | Stratasys | 499.81 Mn | -450.00 Mn | 58.24 Mn | 143.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.93 Mn |
| Mar 31, 2026 | 143.57 Mn |
| Dec 31, 2025 | 145.24 Mn |
| Sep 30, 2025 | 159.34 Mn |
| Jun 30, 2025 | 164.59 Mn |
| Mar 31, 2025 | 169.88 Mn |
| Dec 31, 2024 | 179.81 Mn |
| Sep 30, 2024 | 195.19 Mn |
| Jun 30, 2024 | 196.51 Mn |
| Mar 31, 2024 | 195.06 Mn |
| Dec 31, 2023 | 192.98 Mn |
| Sep 30, 2023 | 197.42 Mn |
| Jun 30, 2023 | 211.19 Mn |
| Mar 31, 2023 | 202.00 Mn |
| Dec 31, 2022 | 194.05 Mn |
| Sep 30, 2022 | 170.43 Mn |
| Jun 30, 2022 | 153.70 Mn |
| Mar 31, 2022 | 143.12 Mn |
| Dec 31, 2021 | 129.15 Mn |
| Sep 30, 2021 | 119.93 Mn |
API Access
Stratasys Inventory 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=inventory&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();