Spok Holdings (SPOK) Non-Current Assets (2010 - 2026)
Spok Holdings (SPOK) posted Non-Current Assets of $144.98 million for Q2 2026, down 4.7% from $152.2 million a year earlier and down 1.2% from the prior quarter.
Spok Holdings (SPOK) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Spok Holdings' Non-Current Assets came in at $148.23 million, down 4.9% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, Spok Holdings' Non-Current Assets was $155.81 million in FY2024 (-4.9%), $163.79 million in FY2023 (-6.1%), $174.43 million in FY2022 (+13.2%) and $154.1 million in FY2021 (-2.7%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q4 2010.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 11 quarters, with an average decline of 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2022, with growth of 13.2%; the weakest was Q3 2021, with a decline of 18.9%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $146.67 million (Q1 2026), $148.23 million (Q4 2025) and $150.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Spok Holdings | 216.92 Mn | 136.59 Mn | 28.18 Mn | 144.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.98 Mn |
| Mar 31, 2026 | 146.67 Mn |
| Dec 31, 2025 | 148.23 Mn |
| Sep 30, 2025 | 150.11 Mn |
| Jun 30, 2025 | 152.20 Mn |
| Mar 31, 2025 | 154.07 Mn |
| Dec 31, 2024 | 155.81 Mn |
| Sep 30, 2024 | 158.38 Mn |
| Jun 30, 2024 | 160.23 Mn |
| Mar 31, 2024 | 162.08 Mn |
| Dec 31, 2023 | 163.79 Mn |
| Sep 30, 2023 | 165.76 Mn |
| Jun 30, 2023 | 169.38 Mn |
| Mar 31, 2023 | 171.78 Mn |
| Dec 31, 2022 | 174.43 Mn |
| Sep 30, 2022 | 154.35 Mn |
| Jun 30, 2022 | 155.89 Mn |
| Mar 31, 2022 | 154.20 Mn |
| Dec 31, 2021 | 154.10 Mn |
| Sep 30, 2021 | 165.25 Mn |
Spok Holdings Non-Current Assets 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=non-current-assets&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();