Spok Holdings (SPOK) Research & Development (2016 - 2026)
Spok Holdings' Research & Development was $3.28 million in Q2 2026, up 7.0% from $3.07 million a year earlier but down 5.1% from the prior quarter.
Spok Holdings (SPOK) Research & Development (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Spok Holdings' Research & Development was $12.87 million through Jun 30, 2026, up 9.8% year-over-year; for FY2025, it was $12.22 million, up 4.5% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In earlier years, Research & Development was $11.69 million in FY2024 (+9.5%), $10.68 million in FY2023 (-21.6%), $13.63 million in FY2022 (-22.2%) and $17.51 million in FY2021 (+11.3%).
- Quarterly Research & Development has moved between $2.22 million (Q3 2022) and $6.5 million (Q1 2022) over five years.
- Compared with a year earlier, Research & Development has increased for four straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2022 (growth of 46.2%); the worst was Q1 2023 (a decline of 61.6%).
- Per Business Quant data, SPOK's Research & Development in the three quarters before Q2 2026 was $3.46 million (Q1 2026), $3.14 million (Q4 2025) and $2.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Spok Holdings | 216.92 Mn | 136.59 Mn | 28.18 Mn | 3.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.28 Mn |
| Mar 31, 2026 | 3.46 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 3.07 Mn |
| Mar 31, 2025 | 3.09 Mn |
| Dec 31, 2024 | 2.74 Mn |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 3.18 Mn |
| Mar 31, 2024 | 2.95 Mn |
| Dec 31, 2023 | 2.78 Mn |
| Sep 30, 2023 | 2.56 Mn |
| Jun 30, 2023 | 2.85 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 2.28 Mn |
| Sep 30, 2022 | 2.22 Mn |
| Jun 30, 2022 | 2.62 Mn |
| Mar 31, 2022 | 6.50 Mn |
| Dec 31, 2021 | 4.85 Mn |
| Sep 30, 2021 | 4.06 Mn |
Spok Holdings Research & Development 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=research-and-development&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();