Stratasys (SSYS) Receivables (2011 - 2026)
Stratasys (SSYS) posted Receivables of $160.38 million for Q2 2026, up 1.6% from $157.87 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Stratasys (SSYS) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025, Stratasys' Receivables came in at $160.48 million, up 4.9% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior years, Stratasys' Receivables was $152.98 million in FY2024 (-11.1%), $172.01 million in FY2023 (+18.8%), $144.74 million in FY2022 (+11.9%) and $129.38 million in FY2021 (+22.0%).
- Quarterly Receivables has run from a low of $121.85 million in Q3 2021 to a high of $172.01 million in Q4 2023 over five years.
- On a year-over-year basis, Receivables has increased in each of the last three quarters, with an average decline of 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 32.8%; the weakest was Q4 2024, with a decline of 11.1%.
- According to Business Quant data, Receivables for the three prior quarters was $157.08 million (Q1 2026), $160.48 million (Q4 2025) and $151.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 255.56 Bn | 227.26 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Deere | 179.70 Bn | 147.79 Bn | 4.66 Bn | 10.19 Bn |
| 3 | Amphenol | 177.67 Bn | 172.37 Bn | 4.02 Bn | 7.78 Bn |
| 4 | Eaton | 127.13 Bn | 124.07 Bn | 3.11 Bn | 8.31 Bn |
| 5 | Parker-Hannifin | 113.68 Bn | 111.80 Bn | 2.25 Bn | 3.37 Bn |
| 6 | 3M | 97.60 Bn | 79.05 Bn | 2.78 Bn | 4.12 Bn |
| 7 | Emerson Electric | 91.05 Bn | 83.78 Bn | 2.66 Bn | 3.65 Bn |
| 8 | Illinois Tool Works | 81.41 Bn | 78.08 Bn | 1.91 Bn | 3.52 Bn |
| 9 | Vertiv Holdings | 68.19 Bn | 57.04 Bn | 1.64 Bn | 4.38 Bn |
| 10 | Stratasys | 499.81 Mn | -450.00 Mn | 58.24 Mn | 160.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.38 Mn |
| Mar 31, 2026 | 157.08 Mn |
| Dec 31, 2025 | 160.48 Mn |
| Sep 30, 2025 | 151.34 Mn |
| Jun 30, 2025 | 157.87 Mn |
| Mar 31, 2025 | 156.15 Mn |
| Dec 31, 2024 | 152.98 Mn |
| Sep 30, 2024 | 153.65 Mn |
| Jun 30, 2024 | 150.48 Mn |
| Mar 31, 2024 | 155.35 Mn |
| Dec 31, 2023 | 172.01 Mn |
| Sep 30, 2023 | 164.08 Mn |
| Jun 30, 2023 | 156.26 Mn |
| Mar 31, 2023 | 144.52 Mn |
| Dec 31, 2022 | 144.74 Mn |
| Sep 30, 2022 | 140.26 Mn |
| Jun 30, 2022 | 132.34 Mn |
| Mar 31, 2022 | 136.44 Mn |
| Dec 31, 2021 | 129.38 Mn |
| Sep 30, 2021 | 121.85 Mn |
API Access
Stratasys Receivables 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=receivables&ticker=SSYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SSYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();