Spok Holdings (SPOK) Total Current Liabilities (2010 - 2026)
Spok Holdings (SPOK) recorded Total Current Liabilities of $46.31 million in Q2 2026, up 1.9% from $45.44 million a year earlier and up 6.6% from the prior quarter.
Spok Holdings (SPOK) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Spok Holdings reported Total Current Liabilities of $49.11 million, up 0.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $48.77 million in FY2024 (+1.6%), $48.01 million in FY2023 (-11.8%), $54.43 million in FY2022 (-1.0%) and $55 million in FY2021 (-4.3%).
- Quarterly Total Current Liabilities has ranged from $39.89 million in Q1 2024 to $57.36 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 7.6% in Q3 2025, against a decline of 16.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.45 million (Q1 2026), $49.11 million (Q4 2025) and $49.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Spok Holdings | 216.92 Mn | 136.59 Mn | 28.18 Mn | 46.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.31 Mn |
| Mar 31, 2026 | 43.45 Mn |
| Dec 31, 2025 | 49.11 Mn |
| Sep 30, 2025 | 49.12 Mn |
| Jun 30, 2025 | 45.44 Mn |
| Mar 31, 2025 | 40.77 Mn |
| Dec 31, 2024 | 48.77 Mn |
| Sep 30, 2024 | 45.63 Mn |
| Jun 30, 2024 | 43.36 Mn |
| Mar 31, 2024 | 39.89 Mn |
| Dec 31, 2023 | 48.01 Mn |
| Sep 30, 2023 | 45.18 Mn |
| Jun 30, 2023 | 49.33 Mn |
| Mar 31, 2023 | 45.14 Mn |
| Dec 31, 2022 | 54.43 Mn |
| Sep 30, 2022 | 52.71 Mn |
| Jun 30, 2022 | 51.85 Mn |
| Mar 31, 2022 | 54.11 Mn |
| Dec 31, 2021 | 55.00 Mn |
| Sep 30, 2021 | 57.36 Mn |
Spok Holdings Total Current Liabilities 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=total-current-liabilities&ticker=SPOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SPOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();