Spok Holdings (SPOK) Cash from Operations (2010 - 2026)
Spok Holdings (SPOK) recorded Cash from Operations of $12.98 million in Q3 2026, up 59.6% from $8.14 million a year earlier and up 100.4% from the prior quarter.
Spok Holdings (SPOK) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Spok Holdings' Cash from Operations came in at $33.43 million as of Sep 30, 2026, up 29.4% year-over-year; for FY2025, it came in at $28.95 million, up 0.1% from FY2024.
- Annual Cash from Operations has increased for three straight years, with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $28.92 million in FY2024 (+10.5%), $26.18 million in FY2023 (+305.6%), $6.46 million in FY2022 (-19.0%) and $7.97 million in FY2021 (-69.5%).
- The Q3 2026 figure is the highest quarterly Cash from Operations since Q3 2020.
- On a year-over-year basis, Cash from Operations rose in four of the last eight quarters, with growth averaging 6.2%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 246.9% in Q3 2024, against a decline of 44.4% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.48 million (Q2 2026), $2.44 million (Q1 2026) and $11.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -127,466.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 238.71 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 73.52 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 260.63 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 198.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 68.59 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 109.43 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 149.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 188.00 Mn |
| 10 | Spok Holdings | 246.21 Mn | 157.19 Mn | 26.29 Mn | 12.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.98 Mn |
| Jun 30, 2026 | 6.48 Mn |
| Mar 31, 2026 | 2.44 Mn |
| Dec 31, 2025 | 11.52 Mn |
| Sep 30, 2025 | 8.14 Mn |
| Jun 30, 2025 | 7.04 Mn |
| Mar 31, 2025 | 2.25 Mn |
| Dec 31, 2024 | 8.41 Mn |
| Sep 30, 2024 | 11.10 Mn |
| Jun 30, 2024 | 7.42 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 11.79 Mn |
| Sep 30, 2023 | 3.20 Mn |
| Jun 30, 2023 | 8.59 Mn |
| Mar 31, 2023 | 2.61 Mn |
| Dec 31, 2022 | 6.60 Mn |
| Sep 30, 2022 | 5.75 Mn |
| Jun 30, 2022 | -1.02 Mn |
| Mar 31, 2022 | -4.88 Mn |
| Dec 31, 2021 | -1.56 Mn |
Spok Holdings Cash from Operations 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=cash-from-operations&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();