Proto Labs (PRLB) Total Non-Current Liabilities (2011 - 2026)
Proto Labs' Total Non-Current Liabilities came in at $101.55 million for Q3 2026, up 16.8% from $86.97 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Proto Labs (PRLB) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Proto Labs' Total Non-Current Liabilities was $85.21 million, up 23.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $68.76 million in FY2024 (-4.5%), $72.03 million in FY2023 (-28.1%), $100.16 million in FY2022 (+6.1%) and $94.38 million in FY2021 (+0.8%).
- The Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year-over-year, Total Non-Current Liabilities has increased for six consecutive quarters, with growth averaging 14.6% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 29.4%), and the weakest in Q4 2023 (a decline of 28.1%).
- Business Quant data shows PRLB's Total Non-Current Liabilities at $95.01 million (Q2 2026), $91.05 million (Q1 2026) and $85.21 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Proto Labs | 1.62 Bn | 1.06 Bn | 68.66 Mn | 101.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.55 Mn |
| Jun 30, 2026 | 95.01 Mn |
| Mar 31, 2026 | 91.05 Mn |
| Dec 31, 2025 | 85.21 Mn |
| Sep 30, 2025 | 86.97 Mn |
| Jun 30, 2025 | 73.43 Mn |
| Mar 31, 2025 | 75.85 Mn |
| Dec 31, 2024 | 68.76 Mn |
| Sep 30, 2024 | 68.79 Mn |
| Jun 30, 2024 | 68.18 Mn |
| Mar 31, 2024 | 78.03 Mn |
| Dec 31, 2023 | 72.03 Mn |
| Sep 30, 2023 | 93.98 Mn |
| Jun 30, 2023 | 89.59 Mn |
| Mar 31, 2023 | 103.62 Mn |
| Dec 31, 2022 | 100.16 Mn |
| Sep 30, 2022 | 90.06 Mn |
| Jun 30, 2022 | 92.17 Mn |
| Mar 31, 2022 | 96.70 Mn |
| Dec 31, 2021 | 94.38 Mn |
API Access
Proto Labs Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PRLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PRLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();