Spok Holdings (SPOK) Total Non-Current Liabilities (2010 - 2026)
Spok Holdings (SPOK) reported Total Non-Current Liabilities of $9.48 million for Q3 2026, down 19.9% from $11.84 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Spok Holdings (SPOK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Spok Holdings posted Total Non-Current Liabilities of $10.62 million, down 21.8% from FY2024.
- Total Non-Current Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $13.58 million in FY2024 (-14.6%), $15.91 million in FY2023 (-16.1%), $18.95 million in FY2022 (-2.7%) and $19.47 million in FY2021 (+1.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $9.44 million in Q2 2026 and a high of $20.83 million in Q2 2022.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 19 quarters, with an average decline of 19.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 1.2%); the low point was Q2 2026 (a decline of 23.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $9.44 million (Q2 2026), $9.48 million (Q1 2026) and $10.62 million (Q4 2025).
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 | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.06 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 531.84 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.16 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.17 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.24 Bn |
| 10 | Spok Holdings | 246.21 Mn | 157.19 Mn | 26.29 Mn | 9.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.48 Mn |
| Jun 30, 2026 | 9.44 Mn |
| Mar 31, 2026 | 9.48 Mn |
| Dec 31, 2025 | 10.62 Mn |
| Sep 30, 2025 | 11.84 Mn |
| Jun 30, 2025 | 12.29 Mn |
| Mar 31, 2025 | 11.97 Mn |
| Dec 31, 2024 | 13.58 Mn |
| Sep 30, 2024 | 14.84 Mn |
| Jun 30, 2024 | 14.81 Mn |
| Mar 31, 2024 | 14.96 Mn |
| Dec 31, 2023 | 15.91 Mn |
| Sep 30, 2023 | 16.24 Mn |
| Jun 30, 2023 | 17.99 Mn |
| Mar 31, 2023 | 18.26 Mn |
| Dec 31, 2022 | 18.95 Mn |
| Sep 30, 2022 | 20.57 Mn |
| Jun 30, 2022 | 20.83 Mn |
| Mar 31, 2022 | 18.87 Mn |
| Dec 31, 2021 | 19.47 Mn |
API Access
Spok Holdings 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=SPOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SPOK", "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=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();