Ufp Technologies (UFPT) Capital Expenditures (2010 - 2026)
Ufp Technologies (UFPT) recorded Capital Expenditures of $1.16 million in Q2 2026, down 59.4% from $2.86 million a year earlier and down 33.6% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Ufp Technologies' Capital Expenditures came in at $10.16 million as of Jun 30, 2026, down 6.2% year-over-year; for FY2025, it was $12.93 million, up 33.9% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $9.66 million in FY2024 (-8.0%), $10.49 million in FY2023 (-23.9%), $13.78 million in FY2022 (+155.4%) and $5.4 million in FY2021 (+23.5%).
- The Q2 2026 figure is the lowest quarterly Capital Expenditures since Q4 2021.
- On a year-over-year basis, Capital Expenditures rose in five of the last eight quarters, with growth averaging 5.1%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 236.5% in Q2 2022, against a decline of 59.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.75 million (Q1 2026), $3.87 million (Q4 2025) and $3.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 1.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | 3.87 Mn |
| Sep 30, 2025 | 3.38 Mn |
| Jun 30, 2025 | 2.86 Mn |
| Mar 31, 2025 | 2.82 Mn |
| Dec 31, 2024 | 3.01 Mn |
| Sep 30, 2024 | 2.15 Mn |
| Jun 30, 2024 | 2.77 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | 2.76 Mn |
| Sep 30, 2023 | 2.78 Mn |
| Jun 30, 2023 | 2.77 Mn |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 2.96 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 6.17 Mn |
| Mar 31, 2022 | 2.33 Mn |
| Dec 31, 2021 | 1.12 Mn |
| Sep 30, 2021 | 995,000.00 |
API Access
Ufp Technologies Capital Expenditures 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=capital-expenditures&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();