Ufp Technologies (UFPT) Accounts Payables (2010 - 2026)
Ufp Technologies' Accounts Payables came in at $32.96 million for Q2 2026, up 45.4% from $22.67 million a year earlier and up 15.9% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies' Accounts Payables was $24.29 million, up 0.1% from FY2024.
- Accounts Payables has increased in each of the last five years, with a five-year compound annual growth rate of 42.6% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $24.27 million in FY2024 (+8.9%), $22.29 million in FY2023 (+11.6%), $19.96 million in FY2022 (+88.1%) and $10.61 million in FY2021 (+157.5%).
- The Q2 2026 figure represents the highest quarterly Accounts Payables in data going back to Q4 2010.
- Year-over-year, Accounts Payables increased in five of the last eight quarters, with growth averaging 10.5%.
- The fastest year-over-year change in Accounts Payables over five years came in Q2 2022 (growth of 180.6%), and the weakest in Q2 2024 (a decline of 8.6%).
- Business Quant data shows UFPT's Accounts Payables at $28.43 million (Q1 2026), $24.29 million (Q4 2025) and $29.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 32.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.96 Mn |
| Mar 31, 2026 | 28.43 Mn |
| Dec 31, 2025 | 24.29 Mn |
| Sep 30, 2025 | 29.44 Mn |
| Jun 30, 2025 | 22.67 Mn |
| Mar 31, 2025 | 29.70 Mn |
| Dec 31, 2024 | 24.27 Mn |
| Sep 30, 2024 | 26.27 Mn |
| Jun 30, 2024 | 22.97 Mn |
| Mar 31, 2024 | 23.65 Mn |
| Dec 31, 2023 | 22.29 Mn |
| Sep 30, 2023 | 26.95 Mn |
| Jun 30, 2023 | 25.13 Mn |
| Mar 31, 2023 | 20.45 Mn |
| Dec 31, 2022 | 19.96 Mn |
| Sep 30, 2022 | 20.90 Mn |
| Jun 30, 2022 | 23.44 Mn |
| Mar 31, 2022 | 15.67 Mn |
| Dec 31, 2021 | 10.61 Mn |
| Sep 30, 2021 | 7.56 Mn |
API Access
Ufp Technologies Accounts Payables 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=accounts-payables&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();