Spok Holdings (SPOK) Retained Earnings (2010 - 2026)
Spok Holdings' Retained Earnings came in at $32.46 million for Q2 2026, down 31.2% from $47.17 million a year earlier and down 7.6% from the prior quarter.
Spok Holdings (SPOK) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Spok Holdings' Retained Earnings was $39.92 million, down 21.4% from FY2024.
- Retained Earnings has declined in each of the last ten years, with a five-year compound annual growth rate of -18.4% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $50.79 million in FY2024 (-18.9%), $62.6 million in FY2023 (-14.4%), $73.1 million in FY2022 (-6.3%) and $77.99 million in FY2021 (-29.3%).
- The Q2 2026 figure represents the lowest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has declined for 11 consecutive quarters, with an average decline of 21.6% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q3 2023 (growth of 16.9%), and the weakest in Q3 2022 (a decline of 42.0%).
- Business Quant data shows SPOK's Retained Earnings at $35.11 million (Q1 2026), $39.92 million (Q4 2025) and $43.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -117.77 Mn |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 4.90 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | -1.56 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | -982.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.96 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 2.70 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 364.84 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 193.95 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | - |
| 10 | Spok Holdings | 217.76 Mn | 137.43 Mn | 28.18 Mn | 32.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.46 Mn |
| Mar 31, 2026 | 35.11 Mn |
| Dec 31, 2025 | 39.92 Mn |
| Sep 30, 2025 | 43.69 Mn |
| Jun 30, 2025 | 47.17 Mn |
| Mar 31, 2025 | 49.35 Mn |
| Dec 31, 2024 | 50.79 Mn |
| Sep 30, 2024 | 53.91 Mn |
| Jun 30, 2024 | 57.03 Mn |
| Mar 31, 2024 | 60.23 Mn |
| Dec 31, 2023 | 62.60 Mn |
| Sep 30, 2023 | 65.79 Mn |
| Jun 30, 2023 | 67.86 Mn |
| Mar 31, 2023 | 70.65 Mn |
| Dec 31, 2022 | 73.10 Mn |
| Sep 30, 2022 | 56.29 Mn |
| Jun 30, 2022 | 59.83 Mn |
| Mar 31, 2022 | 64.26 Mn |
| Dec 31, 2021 | 77.99 Mn |
| Sep 30, 2021 | 97.12 Mn |
Spok Holdings Retained Earnings 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=retained-earnings&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();