Proto Labs (PRLB) Total Current Liabilities (2011 - 2026)
Proto Labs (PRLB) recorded Total Current Liabilities of $76.62 million in Q3 2026, up 9.9% from $69.74 million a year earlier and up 4.7% from the prior quarter.
Proto Labs (PRLB) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Proto Labs reported Total Current Liabilities of $67 million, up 25.8% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $53.27 million in FY2024 (+7.2%), $49.68 million in FY2023 (-30.6%), $71.58 million in FY2022 (+30.4%) and $54.9 million in FY2021 (+9.2%).
- The Q3 2026 figure is the highest quarterly Total Current Liabilities since Q1 2023.
- On a year-over-year basis, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 16.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 30.4% in Q4 2022, against a decline of 30.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $73.2 million (Q2 2026), $70.72 million (Q1 2026) and $67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Proto Labs | 1.62 Bn | 1.06 Bn | 68.66 Mn | 76.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.62 Mn |
| Jun 30, 2026 | 73.20 Mn |
| Mar 31, 2026 | 70.72 Mn |
| Dec 31, 2025 | 67.00 Mn |
| Sep 30, 2025 | 69.74 Mn |
| Jun 30, 2025 | 62.16 Mn |
| Mar 31, 2025 | 62.09 Mn |
| Dec 31, 2024 | 53.27 Mn |
| Sep 30, 2024 | 53.76 Mn |
| Jun 30, 2024 | 50.95 Mn |
| Mar 31, 2024 | 58.44 Mn |
| Dec 31, 2023 | 49.68 Mn |
| Sep 30, 2023 | 74.63 Mn |
| Jun 30, 2023 | 66.22 Mn |
| Mar 31, 2023 | 78.38 Mn |
| Dec 31, 2022 | 71.58 Mn |
| Sep 30, 2022 | 60.72 Mn |
| Jun 30, 2022 | 58.92 Mn |
| Mar 31, 2022 | 60.25 Mn |
| Dec 31, 2021 | 54.90 Mn |
Proto Labs Total 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-current-liabilities&ticker=PRLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PRLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();