Ufp Technologies (UFPT) Inventory (2010 - 2026)
Ufp Technologies (UFPT) reported Inventory of $100.09 million for Q2 2026, up 17.5% from $85.2 million a year earlier and up 6.5% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies posted Inventory of $86.86 million, down 0.8% from FY2024.
- Inventory has a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- By year, Inventory came in at $87.54 million in FY2024 (+24.7%), $70.19 million in FY2023 (+31.1%), $53.54 million in FY2022 (+60.1%) and $33.44 million in FY2021 (+79.4%).
- The Q2 2026 figure ranks as the highest quarterly Inventory in data going back to Q4 2010.
- Year over year, Inventory gained in six of the last eight quarters, with growth averaging 12.6%.
- The high point for year-over-year Inventory in five years was Q3 2022 (growth of 148.3%); the low point was Q3 2025 (a decline of 2.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $93.98 million (Q1 2026), $86.86 million (Q4 2025) and $86.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 100.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.09 Mn |
| Mar 31, 2026 | 93.98 Mn |
| Dec 31, 2025 | 86.86 Mn |
| Sep 30, 2025 | 86.15 Mn |
| Jun 30, 2025 | 85.20 Mn |
| Mar 31, 2025 | 89.84 Mn |
| Dec 31, 2024 | 87.54 Mn |
| Sep 30, 2024 | 88.69 Mn |
| Jun 30, 2024 | 77.98 Mn |
| Mar 31, 2024 | 73.90 Mn |
| Dec 31, 2023 | 70.19 Mn |
| Sep 30, 2023 | 69.78 Mn |
| Jun 30, 2023 | 63.05 Mn |
| Mar 31, 2023 | 56.65 Mn |
| Dec 31, 2022 | 53.54 Mn |
| Sep 30, 2022 | 53.82 Mn |
| Jun 30, 2022 | 50.56 Mn |
| Mar 31, 2022 | 43.30 Mn |
| Dec 31, 2021 | 33.44 Mn |
| Sep 30, 2021 | 21.67 Mn |
API Access
Ufp Technologies 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=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "UFPT", "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=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();