Spok Holdings (SPOK) Consolidated Net Income (2010 - 2026)
Spok Holdings (SPOK) posted Consolidated Net Income of $4.12 million for Q2 2026, down 9.5% from $4.55 million a year earlier but up 107.3% from the prior quarter.
Spok Holdings (SPOK) Consolidated Net Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Consolidated Net Income at Spok Holdings was $12.24 million, down 28.2% year-over-year; for FY2025, it came in at $15.88 million, up 6.1% from FY2024.
- In prior years, Spok Holdings' Consolidated Net Income was $14.97 million in FY2024 (-4.5%), $15.67 million in FY2023 (-28.3%), $21.86 million in FY2022 and -$22.18 million in FY2021.
- Quarterly Consolidated Net Income has run from a low of -$16.67 million in Q4 2021 to a high of $24.23 million in Q4 2022 over five years.
- On a year-over-year basis, Consolidated Net Income has declined in each of the last four quarters, with an average decline of 7.2% over the last eight quarters.
- The strongest year-over-year quarter for Consolidated Net Income in the past five years was Q2 2023, with growth of 146.0%; the weakest was Q4 2023, with a decline of 86.1%.
- According to Business Quant data, Consolidated Net Income for the three prior quarters was $1.99 million (Q1 2026), $2.93 million (Q4 2025) and $3.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 273.43 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 16.23 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 154.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 118.78 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -471.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.16 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 50.35 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 55.00 Mn |
| 10 | Spok Holdings | 216.92 Mn | 136.59 Mn | 28.18 Mn | 4.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.12 Mn |
| Mar 31, 2026 | 1.99 Mn |
| Dec 31, 2025 | 2.93 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 5.20 Mn |
| Dec 31, 2024 | 3.64 Mn |
| Sep 30, 2024 | 3.66 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 4.24 Mn |
| Dec 31, 2023 | 3.37 Mn |
| Sep 30, 2023 | 4.45 Mn |
| Jun 30, 2023 | 4.73 Mn |
| Mar 31, 2023 | 3.12 Mn |
| Dec 31, 2022 | 24.23 Mn |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 1.92 Mn |
| Mar 31, 2022 | -7.21 Mn |
| Dec 31, 2021 | -16.67 Mn |
| Sep 30, 2021 | -2.49 Mn |
Spok Holdings Consolidated Net Income 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=consolidated-net-income&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();