Ufp Technologies (UFPT) Receivables (2010 - 2026)
Ufp Technologies' Receivables came in at $113.25 million for Q2 2026, up 33.3% from $84.93 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies' Receivables was $82.91 million, down 2.1% from FY2024.
- Receivables carries a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- Going back by year, Receivables was $84.68 million in FY2024 (+31.4%), $64.45 million in FY2023 (+16.9%), $55.12 million in FY2022 (+39.9%) and $39.38 million in FY2021 (+49.0%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2010.
- Year-over-year, Receivables increased in six of the last eight quarters, with growth averaging 25.2%.
- The fastest year-over-year change in Receivables over five years came in Q3 2022 (growth of 89.4%), and the weakest in Q2 2024 (a decline of 4.8%).
- Business Quant data shows UFPT's Receivables at $98.57 million (Q1 2026), $82.91 million (Q4 2025) and $85.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 113.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.25 Mn |
| Mar 31, 2026 | 98.57 Mn |
| Dec 31, 2025 | 82.91 Mn |
| Sep 30, 2025 | 85.18 Mn |
| Jun 30, 2025 | 84.93 Mn |
| Mar 31, 2025 | 93.78 Mn |
| Dec 31, 2024 | 84.68 Mn |
| Sep 30, 2024 | 89.15 Mn |
| Jun 30, 2024 | 60.99 Mn |
| Mar 31, 2024 | 61.25 Mn |
| Dec 31, 2023 | 64.45 Mn |
| Sep 30, 2023 | 60.97 Mn |
| Jun 30, 2023 | 64.09 Mn |
| Mar 31, 2023 | 60.14 Mn |
| Dec 31, 2022 | 55.12 Mn |
| Sep 30, 2022 | 61.48 Mn |
| Jun 30, 2022 | 57.91 Mn |
| Mar 31, 2022 | 46.18 Mn |
| Dec 31, 2021 | 39.38 Mn |
| Sep 30, 2021 | 32.46 Mn |
API Access
Ufp Technologies 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=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();