Spok Holdings (SPOK) Return on Capital Employed [ROCE] (2011 - 2026)
Spok Holdings (SPOK) recorded Return on Capital Employed [ROCE] of 10.89% in Q2 2026, down 2.15 percentage points from 13.04% a year earlier but up 0.59 percentage points from the prior quarter.
Spok Holdings (SPOK) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Spok Holdings reported Return on Capital Employed [ROCE] of 12.13%, up 1.21 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +21.53 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 10.92% in FY2024 (-0.36 pp), 11.29% in FY2023 (+11.16 pp), 0.12% in FY2022 (+13.47 pp) and -13.34% in FY2021 (-3.94 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -18.59% in Q1 2022 to 13.04% in Q2 2025 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in four of the last eight quarters, with an average year-over-year change of +0.06 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 26.60 percentage points in Q2 2023, against a drop of 10.79 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.31% (Q1 2026), 12.41% (Q4 2025) and 12.75% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Spok Holdings | 227.80 Mn | 147.47 Mn | 28.18 Mn | 10.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.89% |
| Mar 31, 2026 | 10.31% |
| Dec 31, 2025 | 12.41% |
| Sep 30, 2025 | 12.75% |
| Jun 30, 2025 | 13.04% |
| Mar 31, 2025 | 11.82% |
| Dec 31, 2024 | 11.28% |
| Sep 30, 2024 | 10.77% |
| Jun 30, 2024 | 11.41% |
| Mar 31, 2024 | 11.79% |
| Dec 31, 2023 | 11.84% |
| Sep 30, 2023 | 10.85% |
| Jun 30, 2023 | 9.50% |
| Mar 31, 2023 | 7.06% |
| Dec 31, 2022 | 0.13% |
| Sep 30, 2022 | -13.45% |
| Jun 30, 2022 | -17.11% |
| Mar 31, 2022 | -18.59% |
| Dec 31, 2021 | -13.59% |
| Sep 30, 2021 | -14.78% |
Spok Holdings Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();