Ufp Technologies (UFPT) Payables (2010 - 2026)
Ufp Technologies (UFPT) reported Payables of $32.96 million for Q2 2026, up 45.4% from $22.67 million a year earlier and up 15.9% from the prior quarter.
Ufp Technologies (UFPT) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies posted Payables of $24.29 million, up 0.1% from FY2024.
- Payables has increased for five consecutive years, with a five-year compound annual growth rate of 42.6% (FY2020 to FY2025).
- By year, Payables came in at $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 ranks as the highest quarterly Payables in data going back to Q4 2010.
- Year over year, Payables gained in five of the last eight quarters, with growth averaging 10.5%.
- The high point for year-over-year Payables in five years was Q2 2022 (growth of 180.6%); the low point was Q2 2024 (a decline of 8.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.43 million (Q1 2026), $24.29 million (Q4 2025) and $29.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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 | 5.89 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 | 2.00 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
| 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 |
Ufp Technologies 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=payables&ticker=UFPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();