Ufp Technologies (UFPT) Retained Earnings (2010 - 2026)
Ufp Technologies (UFPT) posted Retained Earnings of $413.16 million for Q2 2026, up 21.2% from $340.87 million a year earlier and up 5.3% from the prior quarter.
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Analysis
Ufp Technologies (UFPT) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Ufp Technologies' Retained Earnings came in at $374.81 million, up 22.3% from FY2024.
- Annual Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, Ufp Technologies' Retained Earnings was $306.5 million in FY2024 (+23.8%), $247.52 million in FY2023 (+22.2%), $202.6 million in FY2022 (+26.0%) and $160.81 million in FY2021 (+11.0%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last 57 quarters, with growth averaging 22.9% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 11.0% (Q4 2021) and 28.4% (Q2 2023) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $392.31 million (Q1 2026), $374.81 million (Q4 2025) and $357.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 14.86 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Ufp Technologies | 2.30 Bn | 2.23 Bn | 50.92 Mn | 413.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 413.16 Mn |
| Mar 31, 2026 | 392.31 Mn |
| Dec 31, 2025 | 374.81 Mn |
| Sep 30, 2025 | 357.25 Mn |
| Jun 30, 2025 | 340.87 Mn |
| Mar 31, 2025 | 323.69 Mn |
| Dec 31, 2024 | 306.50 Mn |
| Sep 30, 2024 | 290.13 Mn |
| Jun 30, 2024 | 273.77 Mn |
| Mar 31, 2024 | 260.21 Mn |
| Dec 31, 2023 | 247.52 Mn |
| Sep 30, 2023 | 235.91 Mn |
| Jun 30, 2023 | 224.22 Mn |
| Mar 31, 2023 | 212.34 Mn |
| Dec 31, 2022 | 202.60 Mn |
| Sep 30, 2022 | 194.13 Mn |
| Jun 30, 2022 | 174.59 Mn |
| Mar 31, 2022 | 165.67 Mn |
| Dec 31, 2021 | 160.81 Mn |
| Sep 30, 2021 | 157.59 Mn |
API Access
Ufp Technologies Retained Earnings 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=retained-earnings&ticker=UFPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=UFPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();