Nrc Health (NRC) Total Non-Current Liabilities (2010 - 2026)
Nrc Health's Total Non-Current Liabilities came in at $127.03 million for Q2 2026, up 9.1% from $116.46 million a year earlier and up 7.2% from the prior quarter.
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Analysis
Nrc Health (NRC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Nrc Health's Total Non-Current Liabilities was $117.63 million, up 20.9% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $97.28 million in FY2024 (+39.4%), $69.81 million in FY2023 (+23.8%), $56.38 million in FY2022 (-19.1%) and $69.66 million in FY2021 (+6.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 31.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 57.3%), and the weakest in Q4 2022 (a decline of 19.1%).
- Business Quant data shows NRC's Total Non-Current Liabilities at $118.49 million (Q1 2026), $117.63 million (Q4 2025) and $118.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Nrc Health | 466.03 Mn | 453.80 Mn | 21.84 Mn | 127.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.03 Mn |
| Mar 31, 2026 | 118.49 Mn |
| Dec 31, 2025 | 117.63 Mn |
| Sep 30, 2025 | 118.04 Mn |
| Jun 30, 2025 | 116.46 Mn |
| Mar 31, 2025 | 101.83 Mn |
| Dec 31, 2024 | 97.28 Mn |
| Sep 30, 2024 | 93.61 Mn |
| Jun 30, 2024 | 75.39 Mn |
| Mar 31, 2024 | 80.31 Mn |
| Dec 31, 2023 | 69.81 Mn |
| Sep 30, 2023 | 59.51 Mn |
| Jun 30, 2023 | 53.61 Mn |
| Mar 31, 2023 | 57.54 Mn |
| Dec 31, 2022 | 56.38 Mn |
| Sep 30, 2022 | 65.16 Mn |
| Jun 30, 2022 | 65.36 Mn |
| Mar 31, 2022 | 69.24 Mn |
| Dec 31, 2021 | 69.66 Mn |
| Sep 30, 2021 | 69.68 Mn |
API Access
Nrc Health 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=NRC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NRC", "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=NRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();