Spok Holdings (SPOK) Return on Sales [ROS] (2010 - 2026)
Spok Holdings (SPOK) reported Return on Sales [ROS] of 15.50% for Q2 2026, up 0.39 percentage points from 15.11% a year earlier and up 8.14 percentage points from the prior quarter.
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Analysis
Spok Holdings (SPOK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Spok Holdings' Return on Sales [ROS] came in at 11.89%, down 3.04 percentage points year-over-year; for FY2025, it was 14.11%, up 0.33 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +29.40 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 13.78% in FY2024 (-1.49 pp), 15.27% in FY2023 (+15.09 pp), 0.18% in FY2022 (+19.68 pp) and -19.50% in FY2021 (-4.20 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q1 2025.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -1.17 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 69.14 percentage points); the low point was Q1 2022 (a drop of 20.80 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.36% (Q1 2026), 11.64% (Q4 2025) and 12.87% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 8.33% |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 26.45% |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 29.09% |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 14.69% |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 8.82% |
| 10 | Spok Holdings | 246.21 Mn | 157.19 Mn | 26.29 Mn | 17.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.08% |
| Jun 30, 2026 | 15.50% |
| Mar 31, 2026 | 7.36% |
| Dec 31, 2025 | 11.64% |
| Sep 30, 2025 | 12.87% |
| Jun 30, 2025 | 15.11% |
| Mar 31, 2025 | 16.58% |
| Dec 31, 2024 | 13.68% |
| Sep 30, 2024 | 14.23% |
| Jun 30, 2024 | 13.17% |
| Mar 31, 2024 | 14.01% |
| Dec 31, 2023 | 12.02% |
| Sep 30, 2023 | 17.54% |
| Jun 30, 2023 | 17.04% |
| Mar 31, 2023 | 14.22% |
| Dec 31, 2022 | 8.89% |
| Sep 30, 2022 | 10.49% |
| Jun 30, 2022 | 7.16% |
| Mar 31, 2022 | -25.63% |
| Dec 31, 2021 | -60.25% |
API Access
Spok Holdings Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SPOK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();