Proto Labs (PRLB) Cost of Revenue (2011 - 2026)
Proto Labs (PRLB) posted Cost of Revenue of $80 million for Q2 2026, up 6.3% from $75.29 million a year earlier and up 5.6% from the prior quarter.
Proto Labs (PRLB) Cost of Revenue (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Proto Labs was $305.94 million, up 7.7% year-over-year; for FY2025, it came in at $295.99 million, up 6.6% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Proto Labs' Cost of Revenue was $277.69 million in FY2024 (-1.5%), $281.88 million in FY2023 (+3.3%), $272.93 million in FY2022 (+2.8%) and $265.41 million in FY2021 (+22.6%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q1 2011.
- On a year-over-year basis, Cost of Revenue has increased in each of the last seven quarters, with growth averaging 4.6% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2021, with growth of 32.5%; the weakest was Q3 2024, with a decline of 4.2%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $75.74 million (Q1 2026), $76.12 million (Q4 2025) and $74.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | 3.80 Bn |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | 2.40 Bn |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | 2.04 Bn |
| 10 | Proto Labs | 2.05 Bn | 1.52 Bn | 69.34 Mn | 80.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.00 Mn |
| Mar 31, 2026 | 75.74 Mn |
| Dec 31, 2025 | 76.12 Mn |
| Sep 30, 2025 | 74.07 Mn |
| Jun 30, 2025 | 75.29 Mn |
| Mar 31, 2025 | 70.51 Mn |
| Dec 31, 2024 | 69.79 Mn |
| Sep 30, 2024 | 68.39 Mn |
| Jun 30, 2024 | 69.09 Mn |
| Mar 31, 2024 | 70.42 Mn |
| Dec 31, 2023 | 69.24 Mn |
| Sep 30, 2023 | 71.42 Mn |
| Jun 30, 2023 | 69.14 Mn |
| Mar 31, 2023 | 72.08 Mn |
| Dec 31, 2022 | 67.00 Mn |
| Sep 30, 2022 | 68.09 Mn |
| Jun 30, 2022 | 69.48 Mn |
| Mar 31, 2022 | 68.36 Mn |
| Dec 31, 2021 | 68.17 Mn |
| Sep 30, 2021 | 70.02 Mn |
Proto Labs Cost of Revenue 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=cost-of-revenue&ticker=PRLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "PRLB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=PRLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();